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HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT

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Page 1: how you can use data analytics

HOW YOU CAN USE

DATA ANALYTICS

TO CHANGE

GOVERNMENT

Page 2: how you can use data analytics

2 | A GOVLOOP GUIDE

2 | What Is Data Analytics?

7 | How to Make Data Analytics User-Friendly

11 | How Data Analytics Drives Real-Time and Forensic Analyses

15 | Accelerating Insights with Multi- Tiered Flash Storage

19 | The Future of Data Analytics in Government IT

23 | In the World of Data Analytics, Speed Is Everything

27 | 4 Keys to a Successful Data Analytics Program

31 | Data Analytics as an Asset

34 | 3 Reasons Privacy Should Be Top of Mind

35 | What You Can Do Now: How to Create a Culture for Data Analytics

37 | About Govloop & Acknowledgments

4 | Fighting the Opioid Epidemic

16 | Improving Human Capital Management

28 | Improving Mail Delivery

8 | Making Patent Data Searchable

12 | Tracking Medicare Fraud

24 | Predicting and Reducing Crime

20 | Empowering Cyber Analysts

32 | Enhancing IT Investment Tracking

CONTENTS

Page 3: how you can use data analytics

HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT | 1

Everything about Dr. Farid Fata’s case seemed too egregious to be true.

When D�ZKLVWOHEORZHU�WLSSHG�R�WKH�'HSDUW-ment of Justice back in 2013�DERXW�'U��)DWDȇV�unprecedented medical malpractice, govern-

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How could a renowned Michigan oncologist

intentionally misdiagnose patients and then

inject them with chemotherapy treatments?

And how could he intentionally underdose

patients who did in fact have cancer?

In total, 553 patients and their loved ones

ZHUH�YLFWLPL]HG��6RPH�SDWLHQWV�GLHG�EHIRUH�VHHLQJ�'U��)DWD�VHQWHQFHG�WR����\HDUV�LQ�SULVRQ�RQ�-XO\�����������2WKHUV�ZHUH�OHIW�ZLWK�organ damage, missing teeth, nerve damage

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Because of the nature of the harm, govern-

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ing him to justice took a brave whistleblower,

government collaboration — and reliable

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tively, nonstop, and pulled enough evidence

together to take quick action, including the

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When this case came in, the team checked

WKH�ZKLVWOHEORZHUȇV�OHDG�DJDLQVW�GLHUHQW�GDWD�sets, including claims data, Brzymialkiewicz

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Healthcare is one of the key areas in govern-

ment where data analytics is driving value,

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:KHQ�XVHG�HHFWLYHO\��GDWD�DQDO\WLFV�FDQ�KHOS�WR�VDYH�OLYHV��LPSURYH�HɝFLHQFLHV��UHGXFH�costs, and help government deliver better cit-

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• 'HȴQH�GDWD�DQDO\WLFV�DQG�XQGHUVWDQG�ZK\�LWȇV�D�ELJ�GHDO�LQ�JRYHUQPHQW

• Identify various use cases at the fed-HUDO��VWDWH�DQG�ORFDO�OHYHOV�DQG�WKHLU�XQGHUO\LQJ�NH\�VXFFHVV�IDFWRUV

• Understand the privacy concerns DVVRFLDWHG�ZLWK�GDWD�DQDO\WLFV

• *OHDQ�SUDFWLFDO�WLSV�IRU�EXLOGLQJ�D�FXO-WXUH�IRU�GDWD�DQDO\WLFV�DW�\RXU�DJHQF\

But before we dive into the meat of this

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EXECUTIVE SUMMARY

Page 4: how you can use data analytics

2 | A GOVLOOP GUIDE

WHAT IS DATA ANALYTICS?Is it big data, data analytics, or just analytics?ΖI�\RXȇYH�HYHU�SRQGHUHG�WKLV�TXHVWLRQ��\RXȇUH�QRW�DORQH��2IWHQ�\RXȇOO�KHDU�WKHVH�ZRUGV�XVHG�LQWHUFKDQJHDEO\�RU�PHUJHG�LQWR�RQH�SKUDVH��ELJ�GDWD�DQDO\WLFV��ΖW�FDQ�EH�FRQIXVLQJ��ULJKW"�

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Analytics is what makes big data come alive.

Without analytics, big datasets could be stored, and they could

be retrieved, wholly or selectively. But what comes out would

be exactly what went in. Analytics, comprising a number of dif-

ferent computational technologies, is what fuels the big-data

revolution. Analytics is what creates the new value in big data-

sets, vastly more than the sum of the values of the parts.”

DESCRIPTIVEANALYTICS

What happened?

DIAGNOSTICANALYTICS

Why did it happen?

PREDICTIVEANALYTICS

What will happen?

PRESCRIPTIVEANALYTICS

How can we make it happen?

D I F F I C U L T Y

I N F O R M A T I O N

O P T I M I Z A T I O N

VALUE

Using Google Analytics to track website traffic, such as page views and number of visitors

Mining data to determine what caused a spike in Web traffic over the past month

Using algorithms and data to predict where burglaries will most likely occur in a city

Rerouting travel, based on traffic predictions and pedestrians’ actions (think self-driving cars)

Page 5: how you can use data analytics

HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT | 3

4 TYPES OF DATA ANALYTICS

ANALYTIC VALUE ESCALATOR

APPLY IT NOW

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1What happened? 2Why did it happen?

3What will happen? 4How can we make it happen?

DESCRIPTIVEANALYTICS

What happened?

DIAGNOSTICANALYTICS

Why did it happen?

PREDICTIVEANALYTICS

What will happen?

PRESCRIPTIVEANALYTICS

How can we make it happen?

D I F F I C U L T Y

I N F O R M A T I O N

O P T I M I Z A T I O N

VALUE

Using Google Analytics to track website traffic, such as page views and number of visitors

Mining data to determine what caused a spike in Web traffic over the past month

Using algorithms and data to predict where burglaries will most likely occur in a city

Rerouting travel, based on traffic predictions and pedestrians’ actions (think self-driving cars)

Page 6: how you can use data analytics

4 | A GOVLOOP GUIDE

The State of IndianaAn interview with Dave Matusoff & Joshua MartinDirector for the Indiana Management & Performance Hub; MPH Chief of Staff

In Indiana, news stories about Hoosiers who are addicted to opioid are

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WR�WKH�ΖQGLDQDSROLV�6WDU, “found her son unconscious in a heroin-in-

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teresting if the state could use data to better understand the changing

nature of the drug problem?

Historically, decision-makers have had to rely on whatever information

was available to make the tough choices, but what they had access to

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WLYH�'LUHFWRU�RI�03+��

THE CHALLENGE: Fighting the Opioid Epidemic

Page 7: how you can use data analytics

HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT | 5

1 2 3

It has only been a few months since MPH stood up its drug data dash-

board internally and began enlisting the help of other agencies — the

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0DWXVR�SRLQWHG�WR�D�2013 state law aimed at tackling the opioid

epidemic as a contributing factor in the decline of prescription opioid

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“When they passed that legislation, it was harder for addicts to get

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and soliciting data and input from law enforcement and public health

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data and even a time-lapse map that shows how the drug epidemic

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03+�LVQȇW�MXVW�FROOHFWLQJ�GDWD�RQ�ODERUDWRU\�WHVWHG�VXEVWDQFHV��7KH�team is also looking at opioid-related deaths and geospatial data for

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SUCCESS FACTORS

THE SOLUTION

Think through your strategy. Create a proof of concept, or partner with other organizations that have already made

investments.

Rethink how you can use your data in new and meaningful ways.

Solicit the help of administration officials to break down data-sharing

silos among agencies.

“What we’re trying to do here is take these mountains of data that are in different places and turn data into information, turn that information into knowledge, and hopefully turn that knowledge into policy.”

Page 8: how you can use data analytics

https://www.oracle.com/solutions/business-analytics/resources.html

LEARN MORE

DATA ANALYTICS

Page 9: how you can use data analytics

HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT | 7

How to Make Data Analytics User-FriendlyAn interview with Rob LindsleyDirector of Data Analytics, Oracle Public Sector

INDUSTRY SPOTLIGHT

By now, data analytics has become one of the

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integrate with existing systems, in terms of

data sources, applications, infrastructure, as

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make data analytics as user-friendly and

ȵH[LEOH�DV�SRVVLEOH��2UDFOHȇV�RZQ�VWUDWHJ\�LV�focused on providing organizations with a va-

riety of cloud options — allowing for self-ser-

vice analytics and data visualization — and

presenting big data and predictive analysis

ZLWKRXW�D�VWHHS�OHDUQLQJ�FXUYH��6LPSO\�SXW��the strategy is to give customers “access to

the data they need paired with the analytics

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7KH�ZD\�JRYHUQPHQW�DJHQFLHV�SURYLGH�DQDO\WLFV�WR�WKHLU�XVHUV�LV�DOVR�FKDQJLQJ��7KH\�can run analytic solutions in their own data-

FHQWHUV��FRPSDQLHV�WKDW�RHU�WKH�DQDO\WLFV�VHUYLFHV�FDQ�GHOLYHU�WKHP�DV�FORXG�RHULQJV��or agencies can have third parties run their

GDWDFHQWHUV��5HJDUGOHVV��WKH�WRROV�RU�VHUYLFHV�should be easily available to consumers both

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ment agencies as running the gamut from

FRUH�EXVLQHVV�RSHUDWLRQV�OLNH�ȴQDQFH�DQG�human resources to mission support func-

WLRQDOLW\�DQG�EH\RQG��Ȋ2UDFOH�KDV�D�VWURQJ�presence in the central operations of many

government agencies, but we also have a lot

of customers using analytics to accomplish

WKHLU�DJHQF\ȇV�FRUH�PLVVLRQ�LQ�D�YDULHW\�RI�DU-eas, including transportation, a child services

DQG�LQ�GHIHQVH�RUJDQL]DWLRQV��7KH\ȇUH�XVLQJ�analytics to meet their objectives quickly and

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and cloud deployment as projects develop

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in the cloud and then move it to an on-prem-

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Agencies are also pushing to instill a culture

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readiness and then moved toward descriptive

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mine what types of units will be required in

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/LQGVOH\�QRWHV�WKHVH�H[DPSOHV�KLJKOLJKW�the democratization of data access, the

usability of modern analytics tools, and easy

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when we can seamlessly incorporate data

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Page 10: how you can use data analytics

8 | A GOVLOOP GUIDE

We can all agree that managing a growing database of more than

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7KH�WRRO�DOORZV�XVHUV�WR�VHDUFK�IRU�WKH�ȊDVVLJQPHQWV�ȋ�RU�OHJDO�SDSHU-work, that document the transfer of a patent from a previous owner to

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THE CHALLENGE: Making Patent Data Searchable

U.S. Patent & Trademark OfficeAn interview with Ted ParrDirector of the Public Information Services Group within the Office of the CIO at USPTO

Page 11: how you can use data analytics

HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT | 9

1 2 3

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cluding execution date, conveyance type, correspondent and assignee

address, as well as allowing wild card and Boolean searches for greater

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5HPHPEHU�WKH�*RRJOH�DQG�0RWRUROD�H[DPSOH�ZH�JDYH�HDUOLHU"�8VLQJ�the new system, users simply enter both names in their respective

ȴHOGV��DQG�ZLWKLQ�D�IHZ�VHFRQGV�WKH\�ZLOO�VHH�WKH�����DVVLJQPHQWV�from Motorola to Google, rather than having to sift through more than

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“In addition, the new tool will have a true data export feature in its next

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0DMRU�XSJUDGHV�ZHUH�UROOHG�RXW�LQ�'HFHPEHU�������LQFOXGLQJ�DQ�DSSOL-cation programming interface that allows users to build their own tools

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7KH�LQLWLDO�SURMHFW�NLFNHG�R�LQ������EHWZHHQ�$XJXVW�DQG�6HSWHPEHU��As a major transparency initiative, it drew interest from the White

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ments and other users to incorporate their feedback; and they were

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Ȋ7KDW�ZDV�D�ELJ�KHOS�WR�XV�ȋ�3DUU�VDLG��Ȋ7KHUH�ZDV�QR�ZD\�ZH�ZHUH�JRLQJ�WR�PDNH�RXU�-DQ����GHDGOLQH�ZLWKRXW�LW�ȋ

SUCCESS FACTORS

THE SOLUTION

Get high-level officials involved early on.

Let the agency’s business units share in the decision-making.

Explore agile development & actively participate in daily scrum

& project meetings.

6.7 6k 3k 4M I L L I O N

R E C O R D SU S E R S

P E R W E E KS E A R C H E S

P E R D A YM O N T H

T I M E L I N E

“The net result is that customers can be very precise with their searches and can filter and analyze results in many different ways.”

Page 12: how you can use data analytics

10 | A GOVLOOP GUIDE

Stop Cyber Threats In Their Tracks

Put Big Data Analytics to Work in Your Cyber Environment. ViON’s DataAdapt S2000 Cyber Secure analyzes large volumes of sensor data in near-real time to:

• Identify and thwart cyber attacks

• Eliminate insider threat vulnerabilities

• Provide actionable predictions for Advanced Persistent Threats (APTs)

LEARN MOREwww.vion.com/Solutions/Cyber-Security.aspx

Page 13: how you can use data analytics

HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT | 11

How Data Analytics Drives Real-Time and Forensic AnalysesAn interview with Billy HillCustomer Solution Architect for Big Data Analytics at ViON

INDUSTRY SPOTLIGHT

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0HPRU\��&38V��DQG�IDVW�VWRUDJH�DUH�JHWWLQJ�cheaper as the manufacturing processes

DUH�LPSURYHG���(DFK�JHQHUDWLRQ�LV�EHFRPLQJ�more familiar with the ecosystem of analytics

and data storage technology, said Billy Hill,

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ability and usability bring analytics tools within

reach for government agencies, businesses

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“Although the technology has been around

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As the technology advances and provides

better insights, the demand for data analytics

and the outcomes they produce continues to

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7KDWȇV�ZK\�DJHQFLHV�DUH�XVLQJ�GLHUHQW�W\SHV�of analytics, such as predictive and prescrip-

tive to better understand what may happen

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WRROV�WR�VXSSRUW�WKRVH�HRUWV��/HWȇV�WDNH�D�closer look at each of these examples to

better understand what they entail and how

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3UHGLFWLYH�DQG�SUHVFULSWLYH�DQDO\WLFV��ΖWȇV�hard to say with certainty what will happen

D�PRQWK�IURP�QRZ�RU�HYHQ�D�\HDU�IURP�QRZ��But agencies can use the data they have to

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er demands for services or internal human

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“If agencies are able to predict the probability

of an event or action occurring, that infor-

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gies are usually used to power real-time data

analysis that require immediate data pro-

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Batch analytics, on the other hand, is used in

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Ȋ7KHUH�LV�D�JUHDWHU�IRFXV�RQ�TXDOLW\�LI�\RXȇUH�doing batch, where as with real-time analysis

there are online algorithms making decisions

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ing analytics supports real-time analysis, while

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Both real-time and forensic analyses provide

great value to agencies, depending on their

VSHFLȴF�UHTXLUHPHQWV��+LOO�VDLG��5HDO�WLPH�analysis is helpful when decisions are based

on quickly evolving data, such as current

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analyses looking at historical data, such as

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ΖQ�DQ�HPHUJHQF\�UHVSRQVH�VLWXDWLRQ��ȴUVW�responders would rely on real-time analysis

to determine how far an ambulance is from

a victim, and how far the victim is from the

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which parts of the city receive the most 9-1-1

calls and where ambulances should be sta-

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�Ȋ:HȇUH�DOZD\V�LQWHUHVWHG�LQ�WKLQJV�WKDW�DUH�just out of reach, and some people think

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Page 14: how you can use data analytics

12 | A GOVLOOP GUIDE

Government Accountability OfficeAn interview with Seto BagdoyanDirector of Audit Services for GAO’s Forensic Audits & Investigative Service

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Ineligible providers and suppliers intent on defrauding the gov-

ernment have used all sorts of schemes to enroll in the Medicare

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A June 2015 report�E\�WKH�*RYHUQPHQW�$FFRXQWDELOLW\�2ɝFH�IRXQG�addresses listed as legitimate practice locations that were later traced

to mailbox rental stores, a construction site, a fast-food franchise and

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But how do these blatant cases of fraud slip under the radar? Ac-

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)RU�*$2��UHYLHZLQJ�WKH�GDWD�DQG�ZHHGLQJ�RXW�IUDXGXOHQW�SURYLGHUV�DQG�suppliers, particularly those with ineligible addresses, requires months

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VXFK�DV�6$6�DQG�ΖGHD�WR�DFWXDOO\�SHUIRUP�WKH�DQDO\VLV��JHW�WKH�LQLWLDO�results, and verify those results through due diligence before reaching

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THE CHALLENGE: Tracking Medicare Fraud

Page 15: how you can use data analytics

HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT | 13

1 2 3

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“By looking at a lot of data and drilling down to the appropriate level, we

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ily available Internet-based tools and on-the-ground follow-up to verify

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GR�D�JRRG�MRE�ZLWK�WKH�GDWD�DQG�WKH�WRROV�ZH�KDYH�ȋ

SUCCESS FACTORS

THE SOLUTION

Ensure data is clean, usable, & reliable as it’s collected.

Institute multiple levels of review to double & triple check that the

data is secure.

Adhere to policies & regulations that govern data collection & publication.

“We’re a very small agency, and my team...we punch way above our weight because we have the determination to do a good job with the data and the tools we have.”

$ 5 5 4 , 0 0 0 , 0 0 0 , 0 0 0 paid by Medicare for healthcare & related services in FY2014

11 percent ($60 billion!) was paid improperly

23,4001 teamof GAO employees

1million addresses

addresses that did not meet federal requirements

sorted through

and found

Page 16: how you can use data analytics

14 | A GOVLOOP GUIDE

Page 17: how you can use data analytics

HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT | 15

Accelerating Insights with Multi-Tiered Flash Storage An interview with Chris Tsilipounidakis & Jason StrawdermanManager of Product Marketing and Vice President, Federal, at Tegile

INDUSTRY SPOTLIGHT

At its core, big data analytics is about

converting data into knowledge that can be

used to make informed decisions, which

can have a variety of positive implications to

JRYHUQPHQW�RSHUDWLRQV��

)RU�LQVWDQFH��ELJ�GDWD�LV�EHLQJ�XVHG�LQ�F\EHU�defense to accelerate recognition of pat-

WHUQV�WKDW�UHSUHVHQW�WKUHDWV�WR�WKH�QHWZRUN��7KHVH�LQVLJKWV�DUH�HQDEOLQJ�RUJDQL]DWLRQV�of all types to predict and prevent potential

cyberattacks before they occur, said Jason

6WUDZGHUPDQ��9LFH�3UHVLGHQW�RI�)HGHUDO�DW�7HJLOH��D�&DOLIRUQLD�EDVHG�FRPSDQ\�WKDW�VSH-

FLDOL]HV�LQ�QH[W�JHQHUDWLRQ�PXOWL�WLHUHG�ȵDVK�VWRUDJH�V\VWHPV�

“Government healthcare organizations are

using big data to manage, analyze, visual-

ize, and extract information that is helping

SUHYHQW�DQG�ȴJKW�GLVHDVH�ȋ�6WUDZGHUPDQ�VDLG��Ȋ:KLOH�WKH�EHQHȴWV�RI�ELJ�GDWD�LQ�RXU�government are tremendous, the implemen-

tation is proving very challenging as legacy

infrastructure cannot handle the demanding

workload, and disparate systems prevent the

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FHVVHV��7KHVH�FKDOOHQJHV�DUH�QRW�MXVW�OLPLWHG�to the government; many organizations in

WKH�SULYDWH�VHFWRU�IDFH�WKHVH�LVVXHV�DV�ZHOO�ȋ�6WUDZGHUPDQ�VDLG��

With this transformation comes the need

IRU�D�GLHUHQW�ZD\�RI�VWRULQJ�DQG�PDQDJLQJ�ELJ�GDWD��$JHQFLHV�PXVW�EUHDN�GRZQ�OHJDF\�storage infrastructure silos while improving

performance and increasing capacity, said

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&XVWRPHUV�DUH�PRYLQJ�DZD\�IURP�WKH�LGHD�RI�SXUSRVH�EXLOW�VWRUDJH��ZKHUH�WKH\�XVH�GLHU-HQW�YHQGRUV�WR�VWRUH�GLHUHQW�W\SHV�RI�VWUXF-WXUHG�DQG�XQVWUXFWXUHG�GDWD��7VLOLSRXQLGDNLV�H[SODLQHG��ΖQ�WKH�SDVW��RUJDQL]DWLRQV�W\SLFDOO\�used certain vendors to store mission-

critical data on more expensive, high-pow-

ered storage systems, other vendors to store

less important data on lower-cost storage,

while using more general-purpose systems

for workloads that require an even blend of

SHUIRUPDQFH��FDSDFLW\�DQG�HFRQRPLFV��

“Big data analytics is causing a massive

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that I was doing before, I need to do it in a

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lated with a mix of solid-state and hard-disk

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Ȋ:LWK�D�PXOWL�WLHUHG�ȵDVK�VWRUDJH�DUFKLWHF-WXUH��Ζ�FDQ�WHOO�&;2ȇV��3URJUDP�0DQDJHUV��DQG�Ζ7�0DQDJHUV�WKDW�Ζ�FDQ�JLYH�WKHP�IDU�EHWWHU�performance than they are getting from their

legacy storage systems and at a fraction of

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PRGDWH�FKDQJH�UDSLGO\��:LWK�GHQVH�ȵDVK��agencies can get better performance and

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Ȋ2XU�QHZ�KLJK�GHQVLW\�ȵDVK�DUUD\��ΖQWHOOL)ODVK�+'��FDQ�SDFN�XS�WR�IRXU�SHWDE\WHV�RI�UDZ�ȵDVK�LQ�D�VLQJOH���8�UDFN��DW�QHDU�WKH�FRVW�per gigabyte of traditional hard drives, and

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In terms of data management, security is also

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PHQW�DQG�ZRUNORDG�ȋ�6WUDZGHUPDQ�VDLG��“Most government agencies are migrating to

— or already operating — hybrid cloud archi-

tectures consisting of both private cloud and

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When it comes to choosing cloud or tradi-

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However, one area where a model like cloud

can be less viable is when agencies want to

process data in real-time and take quick ac-

tions, as opposed to reviewing large amounts

of historical data for less time-sensitive

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desktop infrastructure and archives and

backup, as older legacy systems are retired

DQG�UHIUHVKHG�

Ȋ1RERG\�ZDQWV�WR�UHSODFH�WKHLU�HQWLUH�infrastructure, and no one has the budget

IRU�WKDW�ȋ�6WUDZGHUPDQ�VDLG��Ȋ%XW�ELJ�GDWD�analytics, server consolidations, desktop

virtualization and mobility projects are a few

JUHDW�RSSRUWXQLWLHV�WR�LQWURGXFH�ȵDVK�LQWR�WKHLU�HQYLURQPHQW�ȋ

Page 18: how you can use data analytics

16 | A GOVLOOP GUIDE

General Services AdministrationAn interview with Paul TsagaroulisDirector of Human Capital Analytics at GSA

'DWD�FDQ�WHOO�XV�D�ORW�DERXW�WKH�JRYHUQPHQW�ZRUNIRUFH�ȃ�ZKR�ZDV�KLUHG��ZKR�OHIW��ZK\�WKH\�PD\�KDYH�OHIW��DQG�ZKR�HOVH�LV�OLNHO\�WR�OHDYH��

%XW�LWȇV�KDUG�WR�JOHDQ�WKRVH�LQVLJKWV�ZLWK�GDWD�GUDZQ�IURP�GLVSDUDWH�V\VWHPV��LQ�GLHUHQW�IRUPDWV��$QG�WKRVH�ZKR�QHHG�WKH�GDWD�WKH�PRVW�FDQȇW�HDVLO\�DFFHVV�LW��VDLG�3DXO�7VDJDURXOLV��'LUHFWRU�RI�+XPDQ�&DSLWDO�$QDO\WLFV�DW�*6$�

$OWKRXJK�*6$�KDV�D�VLQJOH�KXPDQ�UHVRXUFHV�V\VWHP��LW�FRPSULVHV�PXO-WLSOH�VXEV\VWHPV�WKDW�GRQȇW�WDON�WR�HDFK�RWKHU��7KLV�RQO\�H[DFHUEDWHV�WKH�FKDOOHQJH�RI�FRPELQLQJ�GLVSDUDWH�GDWD�VHWV�WR�WHOO�D�FRPSOHWH�VWRU\��7R�VWD\�FXUUHQW��*6$�KDV�KDG�WR�EXLOG�VHSDUDWH�SURFHVVHV�WR�FDSWXUH�QHZ�+5�GDWD�VHWV��VXFK�DV�WHOHZRUN�GDWD�

“A big challenge for us is data management and information manage-

PHQW�ȋ�7VDJDURXOLV�H[SODLQHG��Ȋ:H�VSHQG�D�ORW�RI�RXU�WLPH�IRFXVLQJ�RQ�JHWWLQJ�DFFHVV�WR�WKH�GDWD��PDNLQJ�VXUH�LWȇV�YDOLG�DQG�UHOLDEOH��DQG�WKDW�leaves very little time for us to analyze the data and look at trends and

patterns, maybe do some sophisticated analytics, and some predictive

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Ȋ*6$�FRQVROLGDWHG��DQG�QRZ�ZHȇYH�EHHQ�DEOH�WR�WDNH�D�WRS�GRZQ�DS-

SURDFK�LQ�WKLV�SURFHVV�ȋ�7VDJDURXOLV�VDLG��Ȋ6R�ZH�GR�LW�RQFH��ZH�GHOLYHU�LW�RQFH��EXW�ZH�FDQ�DGMXVW�LW�IRU�DQ\�EXVLQHVV�OLQHȇV�VSHFLȴF�QHHGV��JHRJUDSKLF�QHHGV�RU�D�FRPELQDWLRQ�RI�WKRVH��:H�ZHUH�FUHDWHG�DV�D�GL-vision to support this for the agency, to alleviate the need for business

OLQHV�WR�GR�WKLV�WKHPVHOYHV�ȋ

THE CHALLENGE: Improving Human Capital Management

Page 19: how you can use data analytics

HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT | 17

1 2 3

ΖQ�������*6$�ODXQFKHG�D�GLYLVLRQ�GHGLFDWHG�WR�GHYHORSLQJ�ZRUNIRUFH�DQDO\WLFV�GHOLYHUDEOHV��7KH�ȴUVW�RI�WKRVH�GHOLYHUDEOHV�ZDV�DQ�LQWHUDFWLYH�GDVKERDUG�WKDW�YLVXDOL]HG�DQVZHUV�WR�FRPPRQ�+5�TXHVWLRQV�DERXW�new hires and separations by grade, onboarding by major job series,

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“We dramatically reduced ad hoc reporting and responding to re-

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SLSHOLQH�RI�\RXQJHU�KLUHV�FRPLQJ�LQ�DW�ORZHU�JUDGHV��7R�DGGUHVV�WKH�LPEDODQFH��*6$�LPSOHPHQWHG�DQ�HQWU\�OHYHO�KLULQJ�SURJUDP��ΖQ�ȴVFDO�������WKH�DJHQF\�WULSOHG�WKH�QXPEHU�RI�HPSOR\HHV�LW�KLUHG�DW�WKH�*6���OHYHO��FRPSDUHG�ZLWK�WKH�SUHYLRXV�\HDU��

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(DUO\�RQ��KLV�WHDP�H[DPLQHG�WUHQGV�DFURVV�*6$ȇV�ZRUNIRUFH�GDWD��5HYLHZLQJ�WKRVH�WUHQGV�OHG�WKH�WHDP�WR�DVN�VSHFLȴF�TXHVWLRQV�DERXW�WXUQRYHU�UDWHV��ZKDW�IDFWRUV�FRUUHODWH�WR�WXUQRYHU��DQG�LI�*6$�FRXOG�SUHGLFW�WXUQRYHU��7KLV�OHG�LQ�WXUQ�WR�WKH�GHYHORSPHQW�RI�D�WXUQRYHU�PRGHO�IRU�SUHGLFWLQJ�IXWXUH�HPSOR\HH�ORVVHV��

Ȋ2QH�RI�WKH�ȴQGLQJV�WKDW�ZH�FDPH�DFURVV�ZDV�WKDW�SHRSOH�LQ�WKH�FHQWUDO�RɝFH�LQ�WKH�'�&��DUHD�DUH�PRUH�OLNHO\�WR�OHDYH�IRU�DQRWKHU�DJHQF\��ZKHUHDV�LQGLYLGXDOV�LQ�WKH�UHJLRQV�DUH�PRUH�OLNHO\�WR�UHWLUH�ȋ�7VDJDURXOLV�H[SODLQHG��Ȋ6R�ZH�FDQ�DFFRXQW�IRU�VRPH�GLHUHQFHV�LQ�WXUQRYHU�EDVHG�RQ�JHRJUDSKLF�YDULDEOHV��7KHQ��ORRNLQJ�IXUWKHU�LQWR�WXUQRYHU�GDWD��ZH�FDQ�SUHGLFW�ZLWK�VRPH�FRQȴGHQFH�WKH�QXPEHU�RI�people we would expect to have retire or voluntarily separate from

the agency, and we could calculate the cost of the attrition savings

RYHU�WKH�FRXUVH�RI�WKH�\HDU�ȋ

)URP�WKHUH��WKH�DJHQF\�FDQ�XVH�WKRVH�HVWLPDWHV�WR�GR�VRPH�UHFUXLWLQJ�DKHDG�RI�WLPH��LQ�DQWLFLSDWLRQ�RI�WXUQRYHU��

2YHUDOO��WKH�GLYLVLRQ�KDV�LPSURYHG�KRZ�*6$�PDQDJHV�LWV�+5�GDWD�VHWV�by automating reporting of turnover, onboarding, and performance

GDWD��%XLOGLQJ�WKDW�IRXQGDWLRQ�KDV�PDGH�LW�HDVLHU�IRU�WKH�GLYLVLRQ�WR�employ prescriptive analytics and help managers develop action plans

IRU�VWDɝQJ��7VDJDURXOLVȇ�WHDP�LV�LQ�WKH�SURFHVV�RI�UROOLQJ�RXW�DQ�LQWHUQDO�+5�GDWD�ZDUHKRXVH�WR�FRQVROLGDWH�GDWD�DQG�LPSURYH�GDWD�VKDULQJ��

SUCCESS FACTORS

THE SOLUTION

Tackle data management issues first.Use visualization techniques to explain

trends & other findings in the data.

Let workforce data dictate new HR solutions or programs that maximize

employee potential.

“Looking further into turnover data, we can predict with some confidence the number of people we would expect to have retire or voluntarily separate from the agency.”

Page 20: how you can use data analytics

18 | A GOVLOOP GUIDE

Beyond Big Data to Data-Driven Insights

More effective government sits at the intersection of insight and action.

When you can collect, unify, and analyze all the data that surrounds your department, government is empowered to uncover key insights that matter most. It could be an insight that changes the way citizens view your agency, or how your department sees their role. Learn how big data and analytics for smart government can help you know more so you can do more in this informative white paper.

Whitepaper: Analytics in Service of Smart Government

What would you do if you knew? is a trademark, and Teradata and the Teradata logo are registered trademarks of Teradata Corporation and/or its affiliates in the U.S. and worldwide.

What would you do if you knew?™

Page 21: how you can use data analytics

HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT | 19

The Future of Data Analytics in Government ITAn interview with Alan FordDirector of Presales Consulting, Teradata Government Systems

INDUSTRY SPOTLIGHT

:KDW�GRHV������ORRN�OLNH�IRU�JRYHUQPHQW�Ζ7"�We may be in for a few surprises, but one

WKLQJ�LV�FOHDU��GDWD�DQDO\WLFV�ZLOO�SOD\�D�NH\�UROH��7KHUH�DUH�VHYHUDO�DUHDV�ZKHUH�GDWD�DQG�analytics will drive more value in government,

including data transparency, tax fraud, and

WUDQVSRUWDWLRQ�ORJLVWLFV��

'DWD�DQDO\WLFV�ZLOO�UHTXLUH�D�FRQWLQXHG�HRUW�LQ�DQDO\]LQJ�LQFUHDVLQJO\�ODUJHU�GDWDVHWV��$QG�these larger datasets are coming at govern-

ment agencies at greater speeds than ever

EHIRUH��ZLWK�ZLGHU�YDULHW\�DQG�FRPSOH[LW\��

7KLV�LV�ZKHUH�FKDOOHQJHV�EHJLQ�WR�RFFXU��:LWK�more data to analyze, government agen-

cies can easily be overwhelmed as they try

to maintain system performance and data

integrity while protecting sensitive informa-

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like bankruptcies, liens, judgments, or even

repeated address changes – into an integrat-

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fraud easier to track or even proactively pre-

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by sophisticated techniques, all within the

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ment is a huge cost saver, because no longer

do organizations have to set up and main-

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ever, may seem improbable for government

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Page 22: how you can use data analytics

20 | A GOVLOOP GUIDE

Defense Information Systems AgencyAn interview with Dan Bart & Christopher PaczkowskiChief of Cyber Situational Awareness Systems; Cyber Situational Awareness & Analytics Division Chief

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But analysts have to distinguish between anomalous activity that is

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THE CHALLENGE: Empowering Cybersecurity Analysts

Page 23: how you can use data analytics

HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT | 21

1 2 3

:KDWȇV�IDU�PRUH�YDOXDEOH�IRU�DQDO\VWV�LV�WKH�DELOLW\�WR�HDVLO\�FRUUHODWH�multiple data sets, such as what time users are logging on to their

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%XW�LW�LVQȇW�MXVW�LQVLGHUV�WKDW�WKH�V\VWHP�FDQ�GHWHFW��7KH�VDPH�DQRPDO\�detection can be used to identify a nation state worming its way into

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SUCCESS FACTORS

THE SOLUTION

Let the use case dictate what sensors are needed and what data

should be collected.

Communicate with other people in the department, and get a feel for what

systems and capabilities they’re using.

Develop analytics in a common way, and work toward a common goal across the department, to create opportunities

to share analytics.

“If you have a number of different log alerts or data sets that are flagged, then you’re able to correlate those and start answering heuristic questions.”

LOGIN AFTER HOURS OUTSIDE U.S. FILES DOWNLOADED

SYSTEM DETECTS

ANOMALIES

SENDS PRIORITIZED

ALERTS TO ANALYSTS

ANALYSTSVIEW ALERTS& RESPOND

LOGIN AFTER HOURS

LOGIN AFTER HOURSOUTSIDE U.S.

3

2

1

Page 24: how you can use data analytics

22 | A GOVLOOP GUIDE

When government runs on flash

What was complex, now is simple

What filled data center racks, now fits in a box

What took days, now takes hours

What became outdated, now is evergreen

© 2015 Pure Storage, Inc. All rights reserved. Pure Storage, Pure1, and the P Logo are trademarks of Pure Storage, Inc. All other trademarks are the property of their respective owners.

Pure Storage (PSTG) is the #1 recommended technology vendor (based on Satmetrix 2015 NPS Global B2B Benchmarks). To learn more about how Pure Storage can help your agency accelerate what’s possible, visit www.purestorage.com/government

Page 25: how you can use data analytics

HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT | 23

In the World of Data Analytics, Speed Is EverythingAn interview with Vaughn StewartVice President, Enterprise Architect, Pure Storage

INDUSTRY SPOTLIGHT

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mation impacts more than cost savings and

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But how can agencies support the growing

demands for faster services when budgets

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cies, the answer to powering these types

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speed at which agencies can process that

data is another factor agencies must consid-

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technology, you can then allow that building

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software and controllers (free of charge)

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Page 26: how you can use data analytics

24 | A GOVLOOP GUIDE

Norcross Police DepartmentAn interview with Bill GroganSupport Services Captain at Norcross Police Department in Georgia

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In 2012, a new police chief took the reins and shared his vision of us-

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THE CHALLENGE: Predicting & Reducing Crime

Page 27: how you can use data analytics

HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT | 25

1 2 3

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UHSUHVHQWLQJ�D�����E\�����IRRW�DUHD��VSUHDG�RYHU�D�PDS��2ɝFHUV�FDQ�zoom in on the boxes, which might encompass an apartment building,

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It took more than a year to get everyone on board with the software,

*URJDQ�VDLG��ΖW�ZDV�HDVLHU�WR�JHW�QHZ�RɝFHUV�WR�XVH�WKH�VRIWZDUH�EHFDXVH�WKH\�KDG�QR�RWKHU�URXWLQH�FRPLQJ�LQ�WR�WKH�GHSDUWPHQW��%XW�YHWHUDQ�RɝFHUV�ZHUH�DQRWKHU�VWRU\��Ȋ3ROLFH�RɝFHUV�GR�QRW�OLNH�FKDQJH��:H�SUHIHU�WKLQJV�JR�OLNH�WKH\ȇYH�EHHQ�JRLQJ�ȋ�KH�VDLG�

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*URJDQ�VDLG�RɝFHUV�KDYH�EHFRPH�LQFUHDVLQJO\�JRRG�DW�UHFRJQL]LQJ�DU-HDV�ZKHUH�WKHUHȇV�D�KLJKHU�SUREDELOLW\�RI�FULPH��7KH�WHFKQRORJ\�LV�HDV\�WR�XVH�DQG�UHTXLUHV�YHU\�OLWWOH�WUDLQLQJ��ZKLFK�KHOSHG�ERRVW�DGRSWLRQ�

SUCCESS FACTORS

THE SOLUTION

Properly train end users to use any new analytics software.

Seek their feedback on how to use the tool and improve processes.

Work with the data analytics provider to share valuable feedback on how to

improve the tool.

“This is not a crystal ball or ‘Minority Report.’”

Page 28: how you can use data analytics

26 | A GOVLOOP GUIDE

Page 29: how you can use data analytics

HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT | 27

4 Keys to a Successful Data Analytics ProgramAn interview with Gus HornGlobal Consulting System Engineer, NetApp

INDUSTRY SPOTLIGHT

7KHUHȇV�QR�GHQ\LQJ�WKDW�ELJ�GDWD�DQDO\WLFV�has the power to transform the way govern-

PHQW�RSHUDWHV�DQG�VHUYHV�LWV�FLWL]HQV��7KHUH�are countless stories of agencies using ana-

lytics to speed emergency response times,

improve online services and better track

LQWHUQDO�PHWULFV��

But the path to a successful big data analytics

implementation is one that requires proper

long-term planning, said Gus Horn, Global

&RQVXOWLQJ�6\VWHP�(QJLQHHU�DW�1HW$SS�

Ȋ7KH�UHDVRQ�LV�WKHUH�DUH�PDQ\�YDULDEOHV�involved in acquiring and ingesting data into

ELJ�GDWD�DQDO\WLFV�SODWIRUPV��DQG�WKHQ�WKHUHȇV�also the logic around the analytic compo-

nent, how to write it and gain insight into

WKH�GDWD�ȋ�+RUQ�VDLG��Ȋ7KH�ELJJHVW�VWXPEOLQJ�block is typically around ingesting the data

LQWR�DQ�DQDO\WLF�SODWIRUP�ȋ

ΖWȇV�FRPPRQ�IRU�RUJDQL]DWLRQV�WR�VWDUW�RXW�with small development and testing environ-

ments and a handful of servers to demon-

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for agencies to demonstrate the power of

big data analytics, the environment must

be adapted to properly plan for future data

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Ȋ:KDW�ZH�ȴQG�LV�WKDW�WKHVH�YHU\�VPDOO�HQYLURQ-

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LQJ�WR�UHSHDW�DQG�GR�PRUH�RI�WKH�VDPH�ȇ�7KH\�become trapped in an architecture that is

extremely rigid in its design, and two or three

\HDUV�GRZQ�WKH�URDG�WKH\ȇUH�XQDEOH�WR�HYROYH��respond to newer technologies, or implement

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tially, servers age and must be replaced,

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employees who originally built the system

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Growth. Ȋ2UJDQL]DWLRQV�DOZD\V�KDYH�WR�SODQ�for growth when they start talking about a big

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date the velocity, variety and variability of

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7KH�FHQWUDO�SURFHVVLQJ�XQLWV�WKDW�DJHQFLHV�use are rapidly evolving and so are the

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in supporting big data systems are on two

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demands each month, each year and even

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without having to migrate or rebalance that

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options, depending on how often the data

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you can move that into a cold or glacier-like

storage device and still have access to it

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2QH�RI�WKH�SHUNV�1HW$SS�SURYLGHV�LWV�customers is the ability to automate data

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peating the same mistakes because the task

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Page 30: how you can use data analytics

28 | A GOVLOOP GUIDE

U.S. Postal ServiceAn interview with Dan Houston Jr.Manager of Data Science and Exploration, U.S. Postal Service

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DQG�LWȇV�RQO\�D�VPDOO�VOLFH�RI�WKH�GDWD�8636�FROOHFWV�DQG�DQDO\]HV��7KH�agency relies on multiple data sets and tools to analyze operational

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)RU�8636��WKH�SUREOHP�LVQȇW�D�ODFN�RI�GDWD��ΖQ�IDFW��8636�GDWD�LV�JURZLQJ�E\�DERXW����SHUFHQW�HDFK�\HDU��VDLG�'DQ�+RXVWRQ�-U���ZKR�VHUYHV�DV�WKH�DJHQF\ȇV�0DQDJHU�RI�'DWD�6FLHQFH�DQG�([SORUDWLRQ��ΖQ�WKDW�UROH��he oversees 35 petabytes of data — up from 22 petabytes in 2012 —

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“I started two years ago looking at gaps we had from a big data and an-

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THE CHALLENGE: Improving Mail Delivery

Page 31: how you can use data analytics

HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT | 29

1 2 3

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But once the data is together in one place, how do you quickly visu-

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“By indexing and ingesting all of that data in one place, we can quickly

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loads, being able to better tell our plant managers and plant workers

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Having this level of information will ideally help managers improve

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through a plant and better address defects that may have thrown

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SUCCESS FACTORS

THE SOLUTION

To reduce skepticism, find a pain point that’s relevant to people and show them how data can make it better.

Make data analytics tools and data accessible and usable to a wider au-

dience, not just people with advanced programming experience.

Focus on making data operational, so people can quickly visualize the infor-

mation and act on it.

“By indexing and ingesting all of that data in one place, we can quickly see patterns too. Not only do you have the data in one place but you can also quickly get visualizations, and those are just out of the box.”

USPS IN A DAY

512 $223.7320,132

money orders issued

113,531address changes processed

17,029passport applications accepted

millionmailpiecesprocessed & delivered

356,103a minute

5,935a second

million in revenue

Page 32: how you can use data analytics

30 | A GOVLOOP GUIDE

WebFOCUS iWay Software Omni

informationbuilders.com Get Social

Transforming Data Into Customer Value Customer-Facing Analytics

Differentiated User Experience

Information as an App

Page 33: how you can use data analytics

HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT | 31

Data Analytics as an AssetAn interview with Dr. Rado KotorovChief Innovation Officer and Vice President, Information Builders

INDUSTRY SPOTLIGHT

'DWD�DQDO\WLFV�KDV�ORQJ�EHHQ�D�EX]]ZRUG�IRU�JRYHUQPHQW�DQG�WKH�SXEOLF�VHFWRU��ΖWȇV�XVHG�LQ�D�QXPEHU�RI�ZD\V�WR�EHWWHU�VHUYH�FLWL]HQV��But despite its growing popularity, govern-

ment continues to face many challenges with

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government to run analytics across various

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lishing and disseminating data to their con-

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“We try to make it easier for organizations to

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from each source and combine them togeth-

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tions need to ensure they have the analytical

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Page 34: how you can use data analytics

32 | A GOVLOOP GUIDE

Pacific Northwest National LaboratoryAn interview with Justin BrownIT Engineer at Pacific Northwest National Laboratory

:KHQ�\RXȇUH�VXSSRUWLQJ�VFLHQWLȴF�WHDPV�IRFXVHG�RQ�SUHYHQWLQJ�DFWV�RI�terrorism and the non-proliferation of weapons of mass destruction,

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Ȋ2XU�MRE�LV�MXVW�WR�GR�ZKDW�ZH�FDQ�WR�VXSSRUW�DQG�HQDEOH�WKDW�PLV-VLRQ�ȋ�VDLG�Ζ7�(QJLQHHU�-XVWLQ�%URZQ�RI�WKH�3DFLȴF�1RUWKZHVW�1DWLRQDO�/DERUDWRU\��311/���Ȋ:H�ZDQWHG�WR�JR�EH\RQG�MXVW�OLPLWLQJ�WKH�LPSDFW�RQ�FXVWRPHUV�ZKHQ�ZH�KDG�SUREOHPV��:H�ZDQWHG�WR�LPSURYH�WKH�customer experience because the more time that we save for our

customers — the researchers — the more it enables them to focus on

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and issues with the workstations, and the server administrators have

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THE CHALLENGE: Enhancing IT Investment Tracking

Page 35: how you can use data analytics

HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT | 33

1 2 3

311/�LV�QRZ�XVLQJ�GDWD�DQDO\WLFV�WR�JOHDQ�YDOXDEOH�IHHGEDFN�DERXW�WKH�RSHUDWLRQ�DQG�FRQGLWLRQ�RI�WKH�ODEȇV�Ζ7�VRXUFHV�DQG�KRZ�ZHOO�WKH\ȇUH�VHUYLQJ�HQG�XVHUV��%XW�WR�XQGHUVWDQG�KRZ�PXFK�GDWD�DQDO\WLFV�KDV�HQKDQFHG�Ζ7�RSHUDWLRQV�DW�311/��\RX�KDYH�WR�VWDUW�ZLWK�WKH�GDWD��

ΖQ�WKH�SDVW��WKH�Ζ7�SHUIRUPDQFH�GDWD�H[LVWHG�EXW�LW�ZDVQȇW�DFFHVVLEOH�GHSDUWPHQWZLGH��7KH�GLHUHQFH�WRGD\�LV�WKDW�ZKHQ�WKH�GHSDUWPHQW�monitors the performance and usability of servers, webpages and

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Having access to the data makes it easier to perform problem analy-

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VDPH�WLPH��

ΖWȇV�DOVR�HDVLHU�WR�VHH�LI�WKHUHȇV�D�VSLNH�LQ�DFFRXQW�ORFNRXWV��RU�VRIWZDUH�SDWFKHV�WKDW�DUHQȇW�LQVWDOOLQJ�SURSHUO\��Ȋ:H�FDQ�VWRS�WKRVH�SUREOHPV�EHIRUH�WKH\�JHW�WRR�ELJ�ȋ�%URZQ�VDLG��

$V�WKH�GHSDUWPHQWȇV�PRQLWRULQJ�DQG�DXWRPDWLRQ�FDSDELOLWLHV�LPSURYH��FXVWRPHU�VHUYLFH�UHPDLQV�DW�WKH�IRUHIURQW��)RU�LQVWDQFH��UDWKHU�WKDQ�HPDLOLQJ�WKH�ZKROH�ODE�DERXW�D�ZHEVLWH�WKDWȇV�JRLQJ�WR�EH�RɞLQH��Brown and his team can use more targeted communications to inform

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O\WLFV�DQG�SURFHVV�LPSURYHPHQWV��

When Brown and his team began rolling out data analytics capabilities

about two years ago, the focus was on empowering cyberteams to

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Ȋ%XW�WKHQ��RQFH�ZH�VWDUWHG�VHHLQJ�WKH�SRWHQWLDO�RI�WKDW�GDWD�IRU�WKH�Ζ7�support side of things and the operational side of things, we just start-

HG�KHDYLO\�GLJJLQJ�LQWR�LW�DQG�VHHLQJ�ZKDW�ZH�FRXOG�GR�ȋ�%URZQ�VDLG��

SUCCESS FACTORS

THE SOLUTION

Determine key performance indicators, or what metrics will be measured. For each service, determine what matters

most to the organization and begin monitoring those issues.

Develop a methodology or a systematic approach to using the data. Without

that, having all the data won’t do a lot of good.

Show the return on investment. Use the data to clearly show time savings, cost

savings and any other benefits.

“Once we started seeing the potential of that data for the IT support side of things and the operational side of things, we just started heavily digging into it and seeing what we could do.”

accessible IT performance

data

improved monitor-ing & automation

capabilities

assigned risk score to IT resources

1,800 hours + $453,000

SAVED+ =+

Page 36: how you can use data analytics

34 | A GOVLOOP GUIDE

1 2 3

3 REASONS PRIVACY SHOULD BE TOP OF MIND ΖQ�0D\�������3UHVLGHQW�2EDPD�FKDUJHG�WKH�&RXQVHORU�WR�WKH�3UHVLGHQW�WR�OHDG�D����GD\�review�RI�GDWD�DQG�SULYDF\��7KH�SUHVLGHQW�ZDQWHG�WR�NQRZ�ZKDW�QHZ�WHFKQRORJLHV�ZHUH�GHȴQLQJ�WKH�GDWD�ODQGVFDSH�DQG�KRZ�ELJ�GDWD�DQG�GDWD�DQDO\WLFV�LPSDFW�SXEOLF�SROLF\�DQG�ODZV�WKDW�JRYHUQ�SULYDF\��SDUWLFXODUO\�IRU�FLWL]HQV��

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Big data and analytics tools can alter the balance of power between government and citizen.

Government agencies can reap enormous

EHQHȴWV�IURP�XVLQJ�ELJ�GDWD�WR�LPSURYH�VHUYLFH�GHOLYHU\�RU�GHWHFW�SD\PHQW�IUDXG��%XW�government uses of big data also have the

potential to chill the exercise of free speech or

IUHH�DVVRFLDWLRQ��$V�PRUH�GDWD�LV�FROOHFWHG��DQ-

alyzed, and stored on both public and private

systems, we must be vigilant in ensuring that

balance is maintained between government

DQG�FLWL]HQV��DQG�UHYLVH�RXU�ODZV�DFFRUGLQJO\�

Big data and analytics tools can reveal intimate personal details.

2QH�SRZHUIXO�ELJ�GDWD�WHFKQLTXH�LQYROYHV�merging multiple data sets, drawn from dis-

SDUDWH�VRXUFHV��WR�UHYHDO�FRPSOH[�SDWWHUQV��But this practice, sometimes known as “data

IXVLRQ�ȋ�FDQ�DOVR�OHDG�WR�WKH�VR�FDOOHG�PRVDLF�HHFW��ZKHUHE\�SHUVRQDOO\�LGHQWLȴDEOH�LQIRU-mation can be discerned even from ostensi-

EO\�DQRQ\PL]HG�GDWD��$V�ELJ�GDWD�EHFRPHV�more widely used in the private sector

to bring a wellspring of innovations and

SURGXFWLYLW\��ZH�PXVW�HQVXUH�WKDW�HHFWLYH�consumer privacy protections are in place to

SURWHFW�LQGLYLGXDOV�

Big data and analytics tools could lead to discriminatory outcomes.

As more decisions about our commercial and

personal lives are determined by algorithms

and automated processes, we must pay care-

ful attention that big data does not system-

atically disadvantage certain groups, whether

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vent new modes of discrimination that some

uses of big data may enable, particularly with

regard to longstanding civil rights protections

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Page 37: how you can use data analytics

HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT | 35

WHAT YOU CAN DO NOW: HOW TO CREATE A CULTURE FOR DATA ANALYTICS$VLGH�IURP�EXGJHWV��FXOWXUDO�EDUULHUV�SRVH�RQH�RI�WKH�JUHDWHVW�FKDOOHQJHV�WR�LQWURGXF-LQJ�QHZ�WHFKQRORJLHV�DQG�QHZ�ZD\V�RI�WKLQNLQJ�LQWR�DQ\�DJHQF\��7KHUHȇV�D�FHUWDLQ�ZD\�WKDW�SHRSOH�KDYH�DOZD\V�GRQH�WKLQJV��DQG�VRPHWLPHV�OHDUQLQJ�D�QHZ�ZD\�FDQ�FDXVH�DQJVW�RU�SXVKEDFN��

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Jeff Chen Chief Data Scientist,

Department of Commerce

Learn the lingo. When Chen was Director of Analytics for the New York City Fire Department, he rode DORQJ�ZLWK�ȴUHȴJKWHUV�WR�XQGHUVWDQG�WKHLU�GDLO\�H[SHULHQFHV�DQG�VWUXJJOHV��

Tell the story about your data. There are a lot of scientists at Commerce, DQG�WKH\�KDYH�D�ORW�RI�GDWD��7R�KHOS�FUHDWH�LQWHUHVW�LQ�WKLV�GDWD��WKH�DJHQF\�EXLOW�WXWRULDOV�WKDW�IHDWXUH�WKH�VFLHQWLVWV�WHOOLQJ�WKHLU�GDWD�VWRULHV��ȊΖWȇV�DOZD\V�D�GLDORJXH�ȋ�&KHQ�VDLG��

Jon Minkoff Chief Data Officer,

Enforcement Bureau, Federal Communications Commission

Brand your systems. $W�WKH�(QIRUFHPHQW�%XUHDX��HPSOR\HHV�know their reports will be accepted only if WKH\�FRPH�IURP�WKH�EXUHDXȇV�DXGLW�WUDFNLQJ�V\VWHP��7KDW�PHDQV�UHSRUWV�EDVHG�RQ�GDWD�IURP�VRPHRQHȇV�([FHO�VSUHDGVKHHW�ZRQȇW�FXW�LW��ȊΖW�PD\�EH�DFFXUDWH��EXW�LWȇV�QRW�WKH�URRW�ȋ�0LQNR�VDLG��%\�GHPDQGLQJ�WKDW�DOO�UHSRUWV�FRPH�IURP�WKH�EXUHDXȇV�V\VWHP��LW�IRUFHV�SHRSOH�WR�XQGHUVWDQG�WKH�V\VWHP�EHWWHU��DQG�LW�KHOSV�WKH�EXUHDX�LGHQWLI\�DQG�UHSDLU�JDSV��

Kirk Borne Data Scientist and former Professor of Astrophysics and Computational Science at George Mason University

Understand data as a literacy. While technical skills are important, they are RQO\�WUXO\�YDOXDEOH�ZKHQ�FRPELQHG�ZLWK�DQ�XQGHUVWDQGLQJ�RI�GDWD�DQG�SUREOHP�VROYLQJ��ȊΖ�DOZD\V�WHOO�P\�VWXGHQWV�WR�XQGHUVWDQG�GDWD�DV�D�OLWHUDF\�ȋ�%RUQH�VDLG�DW�D�0DUFK������*RY/RRS�HYHQW��Ȋ/LWHUDF\�LV�NQRZLQJ�KRZ�WR�XVH�GDWD��ZKHQ�WR�XVH�LW��ZKDW�W\SHV�WKHUH�DUH��DQG�ZKDW�W\SHV�RI�TXHVWLRQV�LW�FDQ�DQVZHU�ȋ

Recognize that data is an asset. 'RLQJ�VR�JLYHV�GDWD�D�SURPLQHQW�UROH��Ȋ'DWD�is a binary representation of real information, and real information is what we are trying WR�H[WUDFW�ȋ�%RUQH�VDLG��<RX�FDQ�XVH�GDWD�WR�create better insights, decisions, services to FLWL]HQV�RU�RWKHU�DJHQFLHV��

Page 38: how you can use data analytics

36 | A GOVLOOP GUIDE

Caryl Brzymialkiewicz Assistant Inspector General and Chief

Data Officer at the Department of Health and Human Services Office of

the Inspector General

Go on a listening tour. :KDW�EHWWHU�ZD\�WR�ȴQG�RXW�ZKDW�SHRSOH�DUH�WKLQNLQJ�WKDQ�DFWXDOO\�WDONLQJ�WR�WKHP"�7KH\�PD\�QRW�EH�GRZQ�WKH�KDOO��EXW�IROORZ�%U]\PLDONLHZLF]ȇV�OHDG��6KH�VFKHGXOHG�FRHH�PHHWLQJV�DQG�OXQFKHV�ZLWK�SHRSOH�RQVLWH�DQG�KHOG�6N\SH�FDOOV�ZLWK�SHRSOH�LQ�WKH�ȴHOG��$VN�WKHP�DERXW�WKHLU�WHQVLRQ�SRLQWV��ZKDW�WKH\�FDQȇW�DFFHVV�EXW�ZDQW�WR�DFFHVV��DQG�ZKDW�ZRXOG�KHOS�WKHP�GR�WKHLU�MREV�EHWWHU��

Consider the talent you have on board. 7KLQN�DERXW�KRZ�WR�EOHQG�IHGHUDO�KLULQJ�ZLWK�TXLFN��FRPPHUFLDO�R�WKH�VKHOI�VRIWZDUH��7KLQN�DERXW�OHYHUDJLQJ�3UHVLGHQWLDO�0DQDJH�PHQW�)HOORZV�RU�D�FROOHJH�LQWHUQ�WR�KHOS�\RX�EXLOG�\RXU�GDWD�DQDO\WLFV�WHDP��Ȋ+DYLQJ�RQH�VWXGHQW�RQ�ERDUG�FDQ�EULQJ�LQ�QHZ�WDOHQW�DQG�WKRXJKWV�ȋ�%U]\PLDONLHZLF]�VDLG�

Consider rotation programs. ΖV�WKHUH�DQ�HQWUHSUHQHXU�LQ�UHVLGHQFH�RU�DQ�H[HFXWLYH�WKDW�\RX�FDQ�EULQJ�RQ�ERDUG�WR�VXSSRUW�\RXU�HRUWV"�

Joshua Martin Chief of Staff,

the Indiana Management and Performance Hub

Make room at the table for a variety of participants. 7KH�WHDP�DW�03+�LV�ZRUNLQJ�ZLWK�VWDWH�DJHQFLHV�WR�H[SORUH�ZKDW�TXHVWLRQV�FDQ�EH�DQVZHUHG�XVLQJ�WKHLU�GDWD�DQG�WKH�VWDWHȇV�EXVLQHVV�LQWHOOLJHQFH�WRRO��6WDWH�agencies are a part of the planning process and will help shape how the tool LV�XVHG��Ȋ:H�UHDOO\�RSHQHG�WKLV�XS�WR�WKH�RSSRUWXQLW\�WR�FRQWLQXH�WR�EXLOG�RQ�LW�ZLWK�D�QXPEHU�RI�GLHUHQW�VWDNHKROGHUV�DQG�WR�EULQJ�HYHU\RQH�WR�WKH�WDEOH�ȋ�0DUWLQ�VDLG��

Pull from your past experiences. Before starting his career as a state govern�PHQW�HPSOR\HH��0DUWLQ�VSHQW�VL[�\HDUV�LQ�ȴUH�DQG�(06��+LV�SXEOLF�VDIHW\�EDFNJURXQG�DOORZV�KLP�WR�EHWWHU�FRPPXQLFDWH�DQG�UH�late to agencies that have a role in combat�LQJ�ΖQGLDQDȇV�RSLRLG�HSLGHPLF��

Keep everyone informed. 0DUWLQ�DQG�KLV�FROOHDJXHV�KDYH�HLWKHU�PHW�ZLWK�RU�DUH�VFKHGXOHG�WR�PHHW�ZLWK�HYHU\�DJHQF\�WKDW�LV�SURYLGLQJ�GDWD�WR�03+��7KH�JRDO�LV�WR�VKRZ�WKHP�ZKDW�03+�LV�GRLQJ�ZLWK�WKHLU�GDWD�DQG�KHOS�WKHP�WR�EHWWHU�XWL�OL]H�WKHLU�GDWD�WR�PDNH�GHFLVLRQV��Ȋ2QFH�\RX�FDQ�VKRZ�\RXU�SDUWQHUV�ZKDW�\RXȇUH�GRLQJ�DQG�ZKDW�YDOXH�\RX�FDQ�H[WUDFW�IURP�WKHLU�GDWD��SDUWLFLSDWLRQ�XVXDOO\�SLFNV�XS�IDLUO\�UDSLGO\�ȋ�0DUWLQ�VDLG��

Linda Powell Chief Data Officer,

Consumer Financial Protection Bureau

Your data scientists and data manage-ment professionals have to understand the jargon of the business. ȊΖI�Ζ�ZDON�LQWR�DQ�HFRQRPLVWȇV�RɝFH�DQG�Ζ�GRQȇW�XQGHUVWDQG�KLP�ZKHQ�KH�LV�WDONLQJ�DERXW�GR�ing a linear regression, he is going to kick me RXW�ȋ�3RZHOO�VDLG��<RX�KDYH�WR�XQGHUVWDQG�WKH�EXVLQHVV�DQG�WDON�WR�WKHP�LQ�WKHLU�ODQJXDJH��QRW�LQ�JLJDE\WHV�DQG�WHUDE\WHV�RI�GDWD��

Understand what your agency customers or partners want to accomplish. ΖWȇV�QRW�DV�VLPSOH�DV�ZDONLQJ�LQWR�VRPHRQHȇV�RɝFH�DQG�DVNLQJ�WKHP�ZKDW�WKH\�ZDQW��6RPHWLPHV�WKH\�GRQȇW�NQRZ��DQG�LW�PD\�EH�KDUG�IRU�WKHP�WR�DUWLFXODWH�LW��+HUHȇV�ZKHUH�\RX�QHHG�WR�VLW�GRZQ�DQG�KDYH�D�WZR�ZD\�FRQYHUVDWLRQ��)URP�WKDW�GLDORJXH��\RXȇOO�EH�VXUSULVHG�DW�KRZ�PXFK�\RX�OHDUQ�DERXW�WKHLU�GDWD�DQDO\WLFV�QHHGV���ΖI�\RX�GRQȇW�NQRZ�ZKDW�WR�DVN��FKHFN�RXW�WLSV�IURP�&DU\O�%U]\PLDON�LHZLF]��6KH�SURYLGHV�VRPH�VHHG�TXHVWLRQV��

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HOW YOU CAN USE DATA ANALYTICS TO CHANGE GOVERNMENT | 37

ABOUT & ACKNOWLEDGMENTS

CONCLUSION'DWD�LV�SRZHUIXO��:H�FDQ�XVH�LW�WR�VKDSH�SROLFLHV��GHWHFW�IUDXG��ZDVWH�DQG�DEXVH��DQG�HYHQ�VDYH�OLYHV��%XW�LW�WDNHV�PRUH�WKDQ�GDWD�DORQH�WR�GULYH�EHWWHU�GHFLVLRQ�PDNLQJ�DQG�XOWLPDWHO\�EHW-ter outcomes.

:H�DOVR�QHHG�WKH�ULJKW�WRROV�WR�FRPELQH�WKDW�GDWD�DQG�VHDUFK�IRU�SDWWHUQV��DQRPDOLHV�DQG�WUHQGV�WKDW�RWKHUZLVH�ZRXOG�JR�XQGH-WHFWHG��7KLQN�EDFN�WR�WKH�0LFKLJDQ�RQFRORJLVW�ZKR�LQWHQWLRQDOO\�PLVGLDJQRVHG�KLV�SDWLHQWV��ΖPDJLQH�KRZ�PDQ\�PRUH�OLYHV�FRXOG�KDYH�EHHQ�GHVWUR\HG�ZLWKRXW�WKH�LQFULPLQDWLQJ�GDWD�WR�EDFN�XS�WKH�ZKLVWOHEORZHUȇV�FODLPV��

:H�KDYH�WR�VWRS�YLHZLQJ�GDWD�DQDO\WLFV�DV�VROHO\�DQ�Ζ7�SURMHFW�RU�VRPHWKLQJ�IRU�SHRSOH�ZLWK�FRPSXWHU�VFLHQFH�GHJUHHV��6RPH�RI�WKH�EHVW�GDWD�DQDO\WLFV�WHDPV�DUH�PXOWLGLVFLSOLQDU\��)RU�H[DPSOH��WKH�SHRSOH�RQ�*6$ȇV�+5�GDWD�DQDO\WLFV�WHDP�FRPH�IURP�GLYHUVH�ȴHOGV��ZLWK�EDFNJURXQGV�LQ�MRXUQDOLVP��ȴQDQFH��DQG�LQGXVWULDO�DQG�RUJDQL]DWLRQDO�SV\FKRORJ\��WR�QDPH�D�IHZ��

$V�GDWD�DQDO\WLFV�FRQWLQXHV�WR�SHUPHDWH�JRYHUQPHQW��WDNH�WKH�WLPH�WR�LGHQWLI\�SHRSOH�ZKR�FDQ�DGG�YDOXH�WR�\RXU�DQDO\WLFV�SURM-HFWV��)LQG�WKH�ULJKW�SHRSOH�WR�WUDLQ��DQG�LQYHVW�LQ�WKHP��<RX�QHYHU�NQRZ�ȃ�\RXU�EHVW�GDWD�VFLHQWLVW�PD\�EH�D�SKLORVRSK\�PDMRU��$IWHU�DOO��WKH\�DUH�JRRG�WKLQNHUV��

So what’s next for data analytics in government?

([SHUWV�LQ�WKH�ȴHOG�H[SHFW�WR�VHH�JUHDWHU�XVH�RI�GDWD�DQDO\WLFV�to drive cybersecurity operations and predictions about future WKUHDWV��:KHQ�DJHQFLHV�DUH�UHDFWLYH�ȃ�UDWKHU�WKDQ�SURDFWLYH�ȃ�WKH�RXWFRPHV�FDQ�EH�GHYDVWDWLQJ��2QH�UHFHQW�H[DPSOH�LV�WKH�PDVVLYH�GDWD�EUHDFK�DJDLQVW�2ɝFH�RI�3HUVRQQHO�0DQDJHPHQW�systems�WKDW�OHIW�PLOOLRQV�RI�VHQVLWLYH�HPSOR\HH�UHFRUGV�H[SRVHG�WR�KDFNHUV��

Ȋ&\EHU�LV�WKH�1R����LVVXH�RI�RXU�WLPH�ȋ�VDLG�%RUQH��ȊΖWȇV�QRW�MXVW�230��EXW�VR�PDQ\�LQVWDQFHV�ZKHUH�LW�ZRXOG�EH�EHWWHU�WR�SUHGLFW�something that doesn’t happen than not to predict anything and GHDO�ZLWK�WKH�IDOORXW�ȋ

6RPH�DJHQFLHV�DUH�H[SORULQJ�QH[W�VWHSV�IRU�XVLQJ�DQDO\WLFV�WR�EH�SURDFWLYH��UDWKHU�WKDQ�UHDFWLYH��ZKHQ�LW�FRPHV�WR�VHFXULW\�DQG�FDUU\LQJ�RXW�WKHLU�UHVSHFWLYH�PLVVLRQV��0DQ\�RI�WKH�DJHQFLHV�KLJK-OLJKWHG�LQ�RXU�FDVH�VWXGLHV�DUH�H[SORULQJ�WKRVH�RSWLRQV��LQFOXGLQJ�WKH�VWDWH�RI�ΖQGLDQD��*6$��WKH�++6�ΖQVSHFWRU�*HQHUDOȇV�2ɝFH�DQG�WKH�1RUFURVV�3ROLFH�'HSDUWPHQW��

.HHS�LQ�PLQG�WKDW�WKLV�UHVRXUFH�JXLGH�LV�PRUH�WKDQ�D�FRPSLODWLRQ�of government success stories. It’s an invitation to reach out to WKH�DJHQFLHV�\RXȇYH�UHDG�DERXW��DQG�D�OHDUQLQJ�WRRO�WR�HQKDQFH�\RXU�GDWD�DQDO\WLFV�MRXUQH\��

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Author: Nicole Blake Johnson, Technology Writer

Designers: -H�5LEHLUD��&UHDWLYH�0DQDJHU Tommy Bowen, Graphic Designer .DLWO\Q�%DNHU��-XQLRU�'HVLJQHU0DUWLQ�1HUD��'HVLJQ�)HOORZ

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38 | A GOVLOOP GUIDE

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