big data analytics

12
Big Data Analytics Ben Fountain May 2016

Upload: napier-university

Post on 12-Jan-2017

336 views

Category:

Education


0 download

TRANSCRIPT

Page 1: Big Data Analytics

Big Data AnalyticsBen FountainMay 2016

Page 2: Big Data Analytics

2

What is Big Data?

“The dynamically linked super set of multiple significant scale discrete data sets.”

-Oscar Wilde

Characteristics include• Large volumes, typically adding terabytes of data daily• Aggregation of many historically discrete data sets• Dynamic links between the data setsConsequently • Any analysis is a point in time position

Page 3: Big Data Analytics

3

Why care?

• Better intelligence which can be leveraged in business, healthcare etc. to target efforts;

• Cost of a DNA analysis has reduced by around 5 orders of magnitude since the process became possible, making personalised medicines a reality in the near future.

• If you are investing in Big Data projects, the risk of data loss doesn’t necessarily change. The Volume of loss is potentially colossal with impacts that aren’t understood for an extended period.

• Customers hold concerns about companies taking a role of Orwellian Big Brother.

Francis Bell
Again do you need a footnote to cite the reference source for this statistic?
Page 4: Big Data Analytics

4

There’s no Best Practice…yet

Breaches• Snowden showed that Government organisations with specific focus on

security struggle to control Big Data and the associated risks.• Panama Papers showed that legal firms with an inherently high level of

confidentiality in their practices struggle.Compliance issues• Harder to define the purpose of data exploration.• Big Data breaches tend to be….bigger.• Regulators will expect technology to be used equally to exploit and

control Big Data.

Page 5: Big Data Analytics

5

Key Controls for Big Data1. Track all access that collects, views, and manipulates sensitive data, and ensure that it is

encrypted at each point.2. Encryption keys for sensitive data can't be stored at the same location as the data.3. All access and processing of data must be logged. These logs must be subject to human and

automatically monitoring.4. Use automated scanning to constantly monitor systems for vulnerabilities and malware.5. Monitor network egress for anomalies in traffic.6. Create a number of "false flag“ records. Configure alerts and blocks to identify and prevent

data breaches.

Francis Bell
The bullet points are very "wordy" is there a chance to slim down the bullet points or even split these over two slides. There is a lot of information on one slide here.
Page 6: Big Data Analytics

6

How to use Big Data Analytics?

Prescriptive AnalyticsHow can we influence the future?

Predictive AnalyticsHow can we plan for the future?

Diagnostic AnalyticsWhy did this happen?

Descriptive AnalyticsDo we know what happened?

Ana

lytic

s M

atur

ity

His

toric

al

Ana

lytic

sPr

oact

ive

Ana

lytic

s

Page 7: Big Data Analytics

7

Police use of Predictive Analytics

The California city of Fresno is just one of the police departments in the US already using a software program called “Beware” to generate “threat scores” about an individual, address or area.

As reported by the Washington Post in January, the software works by processing “billions of data points, including arrest reports, property records, commercial databases, deep web searches and the [person’s] social media postings”.Photo: Nick Otto/For The Washington PostQuote :https://www.theguardian.com/technology/2016/feb/04/us-police-data-analytics-smart-cities-crime-likelihood-fresno-chicago-heat-list

Page 8: Big Data Analytics

8

How to do it well

Staff appropriately• Specialist Skills are in demand;

• Big Data• Data Management

• Have a plan to recruit and retain them!Data Quality• Big Data Leaders show maturity in data quality

Francis Bell
This is a repeat from slide 4. Do you need to repeat it here?
Page 9: Big Data Analytics

9

Final Point

Big Data is a pre-requisite of the desire for better analytics, the desire to better understand. Of itself, its just a large data set waiting to breach.

Francis Bell
Is this a quote from anywhere or your own words? Again, if it's a quote perhaps a footnote with the source.
Page 10: Big Data Analytics

10

Points of contact

Ben FountainSenior Consultant

M: +44 (0) 7545 503 311E: [email protected]

NCC Group Blogshttps://www.nccgroup.trust/uk/about-us/newsroom-and-events/blogs/

TED Talks on Big Datahttps://www.ted.com/search?q=big+data

Page 11: Big Data Analytics

11

Experiment

“The dynamically linked super set of multiple significant scale discrete data sets.”

-Oscar Wilde

Well that’s a lie.

Page 12: Big Data Analytics

12

NCC Locations

EuropeManchester - Head OfficeAmsterdamBasingstokeCambridgeCopenhagenCheltenhamDelft Edinburgh GlasgowLeatherhead LeedsLondonLuxembourgMadridMalmöMilton KeynesMunichVilniusZurich

AustraliaSydney

North AmericaAtlantaAustinChicagoKitchenerNew YorkSan FranciscoSeattleSunnyvale