You are already using DATA in SMALL ways

You can use DATA in BIG ways even if you are not BIG…How?

SME’s, Big Data and Analytics

Doing it

Some Case studies and Tools

Who are we

Why do they left turnUPS and left turns

Data Analytics value line

How it influences decision making

Big data has been used to confirm or refute conventional wisdoms held by an enterprise

SME’s, Big Data and Analytics

Doing it

Some Case studies and Tools

Who are we

Canada Post analytics showed that the risk of dog bites is higher with home delivery compared to community boxes

Companies will shift their future investment away from IT-developed reporting solutions toward business-user-led analysis solutions.

Do you have big dataCharacteristics of big data

Data sources; big and small

ERP CRM

RFIDNetwork Switches

Billing

CDR

M/c

Sensors

Social Media and Pancreatic Cancer

Evolution of the DatapersonI know the answer to all my problems and really don’t need any more data: I didn’t need data analysis for this, I knew it

Using traditionally available data on a largely post facto basis to solve known problems and opportunities

Collect and analyze all possible data in real time to take decisions in real time to solve problems and realize opportunities

You are doing your data right nowYou are Scenarios How did you do data analysis

A takeaway 1. A surge at 4 pm every day2. Low sales of 3 items every

alternate day

1. Your boys told you, You saw itwhen you were there, you say the hourly billing data

2. No idea

A retailer 1. End of month sales isdeclining

2. Per user basket size reducing on a day to day basis

1. No Idea2. ERP or Billing software or BI

Hospital 1. Nurse retention ratio is down2. Department patients billing

down

1. No Idea2. Doctor changed, new

hospital, from the daily patient report

Can we start by ourselves

10

Math and OR

Expertise

Develop analytic algorithms

Visualization Expertise

Interpret data to present in meaningful ways

Tools and Users

Reduce complexity by using off the shelf tools, work with expert users

Vertical /

Domain Expertise

Develop hypothesis, identify business issues,

ask the right questions

Data Experts

Data architecture, management,

governance, policy

Use data for decision making

Apply information to solvebusiness issues

yes Take help Later

how to start: do what you have: LHFSet up a Cross Functional Team

Do a Data Inventory

Validate Data for analytics use

Problems to Data mapping

1. Get functionalheads, send out a mail to all, go online, IA and Business analyst

2. Throw in some contrarians and a professor

3. Give mandate of using data and generating shocks

1. Start with each Functional head

2. Get data sourceand sample data for each function

3. Ask IT to do an inventory of data sources not being used or owned

4. Already owned external databases

1. Select tools touse: Excel andAccess, Ask IT for statistical modeling tools, Go online, Kaggle, Watson, Own App tools, Google

2. Check Volume, Velocity, Variety to qualify data

1. For each data source check what problem might it give an answer to

2. Get a list of problems, pet theories, black holes from the CFT and @All mail

3. Map them to the data source if possible and make Tool choice

how to start: do what you have: LHFGenerate Analytics Course Correction Feedback loop Start over

1. Use tool selected and run the analytics

2. Check if the results can be viewed as Diagnostic analytics

1. Makes changes to process, staff, resources, infrastructure, design to reflect analytics results

1. Check results and see if there are positives.

2. Check analytic design , check if you are comparing apples to apples

1. Do it all over again.

2. Add more and more data to the mix, draw new correlations, more real time data, more behavioral data

Once you have tasted the LHF….you probably would have made more money, understand data better: Time to invest in tools and staff

Data Inventory ExampleFunctions Sources Sources Sources

Sales CRM Billing Software After Sales

Service/Mfg ERP / PPC Quality system Machine data

Supply Chain Accounting DB Logistics Sys

HR Attendance Payroll Social Media

HRIS

Marketing Social Media Measurement tools

Google Analytics Twitter Analytics

Finance Accounting SW Bank Data

Back

Running a Sales analyticSales

Decline

Qty

Per user

Fewer / Diff Prod

Fewer Users

Fewer/ User

Price

Per product

Discount

Margin

Product Mix

Correlations• Higher Price• New Products• New store• Cust Complaint• Sales ReturnsTrend Analysis and Forecasting

accuracy• User behavior over different

time periods, Day, Month, Season, Year

Unstructured data mining• Social Media mention• Email campaign reception

Correlations• Discount• Margin • Product MixTrend Analysis and Forecasting

accuracy• User reaction to price and

Supplier behavior over different time periods, Day, Month, Season, Year

Unstructured data mining• Social Media mention of price• Email campaign reception

Back

SME’s, Big Data and Analytics

Doing it

Some Case studies and Tools

Who are we

Canada Post analytics showed that the risk of dog bites is higher with home delivery compared to community boxes

Some places to start: SalesP / O P / O

Who is our most valuable customer Who doesn’t pay by time but still gets a good deal

Who is the least value customer Who does most sales returns, which product does most sales returns

Lost sales, missed sales leads, high probability sales leads botched

Which sales agent leads to most sales returns

Customers who don’t come back, whoare they, where are they from, was there a warning sign: fewer visits, lower billing

What happens after a customer does a sales return, a complaint,

Is sales responding to Social Media mentions

Which area is showing decline in sales, which is growing,

Is discount working to increase my sales, which promotion lead to a secular increase in demand, is there a particular time at which discounts work, is there a particular product on which it works

Which products seem to be price inelastic, is there a good time to increase prices, do other goods get impacted if price increases [cannibalization]

theory of inventive problem solving• Wolfram Alpha, an online personal analytics tool that helps people analyze their Facebook feeds and

displays their account activity in pie charts, graphs and maps. Wolfram Alpha will expand its personal analytics tools to allow users to input and analyze a wide range of personal data including emails, instant messages, tweets and health data.

• Google’s Field Trip, a customizable local discovery engine. When people approach something interesting, it automatically informs them about the location. No click is required and it can even read the information to them. Field Trip bases its recommendations on user inputs and lets users find the cool, hidden and unique things and places wherever they are

• ValuTex, a mobile marketing service, which sends special offers to smartphones of shoppers who have opted-in when they enter a “geo-fence,” . These offers can be customized to specific customers using profiles maintained by the merchant

• Global hotel chains are exploring applications that, with guests’ permission, recognize them via their cell phones when they pull into the parking lot. These apps let hotels automatically check in guests and have their room key and paperwork – and perhaps their favorite beverage – waiting at the front desk before they even walk through the door

• Scout Mob and Womply, which allow local merchants to personalize offerings for particular consumers, increasing customer loyalty. These services let local merchants combine information on purchases with social media data to provide a more complete picture of customer preferences

• QuickBooks Online, includes a Trends feature that anonymously aggregates customer data and allows small businesses to see how their income and expenses stack up against similar businesses. A roofer in Philadelphia grossing $250,000 annually can compare results with other roofers in the area or across the country.

theory of inventive problem solving• A company wanted to shift its operations from City A to City B. Most employees won’t tell you if they

don’t like the move and wait till they get another job and then leave you. That would mean business disruption. We made an analytic by going through employee data to come up with a profile that would be most likely to quit, a profile that might not quit if some parameters were taken care of.

• Mackenzie Hospital: 34 beds, partnership between Cisco, Blackberry, Thoughtwire and funded by Ontario CoE that picks up data from the workflow and tries to solve the problem of locating people and getting to them the right information.

• EagleView Technologies provides roofers and solar panel installers with precise measurements of roof sizes and slopes based on aerial photographs. Local contractors use the images and measurements to inspect roofs, estimate costs and identify potential customers without the need for costly site visits

• When they didn’t have loyalty-card data, small businesses were dominated by their owner-managers, who made decisions on their past experiences and any consumer information they could get their hands on. One firm, was asked by a retailer to produce a range of ready meals, simply looked at other products on the market and tried to imitate them.

• a large bank wants to monitor Twitter and Facebook for entries mentioning life-changing events. The theory is that postings about developments such as pregnancies, births, or marriages can become marketing opportunities for the bank. But the bank also wants to understand whether negative developments, such as announcements about an acrimonious divorce, will raise a flag that credit lines need to be carefully monitored or frozen

theory of inventive problem solving• Financial Engines, helps hundreds of thousands of people navigate the complexities of retirement

planning. Founded by Nobel prize-winning economist Bill Sharpe, the firm provides individuals with sophisticated financial advice – previously available only to the world’s largest institutional investors. Its foundation is cloud technologies, new ways to access large financial data sets and advanced data analysis tools.

• Parchment, a startup that helps high school students choose and apply to college. By analyzing a large database of student profiles such as grade point averages, SAT scores and acceptance data, Parchment assesses a student’s likelihood of admission to a specific school. It then determines what the student must do to improve acceptance chances. Parchment also plays matchmaker, pointing students toward schools that match their profiles, helping them find a good fit.

• Factual, which offers a cloud-accessible database of 58 million businesses and places of interest in 50 countries, effectively creating an uber Yellow Pages with a truly global reach. Businesses will be able to use this data to identify, target and market to business customers anywhere in the world as easily as to those in their home towns.

• Startup Compass, which collects data from tens of thousands of startups and creates best practice information, benchmarks and performance indicators that help entrepreneurs make better decisions. This new, cloud-based service currently has 17,000 companies submitting data and using it to help run their businesses. .

Resources and Tools• IBM's Watson Analytics advanced and predictive business analytics doesn't require using complex data

mining and analysis systems, but automates the process instead. This self-service analytics solution natural language" technology helps businesses identify problems, recognize patterns and gain meaningful insights: free and freemium.

• Google Analytics, Free Web-traffic-monitoring tool, provides data about website visitors, using a multitude of metrics and traffic sources. where traffic is coming from, how audiences engage and how long visitors stay on a website (known as bounce rates)

• InsightSquared connects to popular business solutions — such as Salesforce, QuickBooks, ShoreTel Sky, Zendesk : Use for pipeline forecasting, lead generation and tracking, profitability analysis, and activity monitoring. It can also help businesses discover trends, strengths and weaknesses, sales team wins and losses from CRM. 99USD pm.

• Canopy Labs, a customer analytics platform, uses customer behavior, sales trends and predictive behavioral models to extract valuable information for future marketing campaigns and to help you discover the most opportune product recommendations.

• Tranzlogic works with merchants and payment systems to extract and analyze proprietary data from credit card purchases. This information can then be used to measure sales performance, evaluate customers and customer segments, improve promotions and loyalty programs, launch more-effective marketing campaigns. No tech smarts to get started — it is a turnkey program, meaning there is no installation or programming required. Simply log in to access your merchant portal.

• SiSense, which allows small companies to draw information out of the transaction statistics being collected on their e-commerce sites and in CRM databases Prism, is intended to be used by business analyst (rather than IT experts) who are interested in running "self-serve analytics,“

• OneQube The program mines comments and conversations on social networks like Twitter to identify the most relevant prospects, or Constant Contact offers big data-based benchmarks to help marketers optimize their campaigns.

Resources and Tools• ODX is a partnership between Communitech, the University of Waterloo, D2L

(Desire2Learn), CDMN (Canadian Digital Media Network), and OpenText; the initiative will evolve over the next three years using FedDev Ontario’s Investing in Commercialization Partnerships (ICP) grants for small business in Ontario, as well as non-profits and post-secondary institutions. The Open Data Exchange (ODX) depends on the sharing, distribution, and analysis of large datasets. The founding partners of ODX consist of for-profit businesses, non-profits, and a post-secondary institution. The local community has to sign up as a supplier of data to maximize the impact of ODX. Verticals: - Consumer products; Education; Energy (Electricity/Oil and gas); Finance; Health care; and Transportation

• 2001, the Government of Canada funded a not-for-profit corporation called Canada Health Infoway. Its charge to facilitate health care transformation includes developing health information standards, providing tools and services for technology vendors, and working with the clinical community to enhance its value.

Resources and Tools• Workforce Analytics Forum by the Canadianinstitute.com is a program developed

specifically for HR and workforce analytics professionals besides getting course credits

• Community Cloud: online collaboration and business process platform: Salesforce To bring employees, customers, suppliers and distributors together. Targeted Recommendations an addition to this, uses algorithms to analyze both structured and unstructured data so the most relevant content is delivered to each community member. All this is easy to do by using templates so you don’t need IT too much

• Twitter Analytics is an easy-to-use, free tool :For monthly account summaries, which tweets generated largest engagement, identify top followers of your brand.

• Business analytics from Bell can help you in building an analytic engine and so also if you are an Intuit Quickbook user. Intuit has collective data of more than 45 million customers that ranges from individual purchases and spending habits to business inventories, transactions, and trends. QuickBooks Online Trend’s goal is to help the mom and pop store compete with Macy’s or Starbucks down the street.

• The Chang School offers several programs to provide proficiency and skills in big data and advanced analytics. Professional Master's Program in Big Data at the SFU. LassondeSchool of Engineering will lead a program in Data Analytics and Visualization providing interdisciplinary training in both computational analytics and perceptual design methodologies

Points to Ponder

Data is the new Oil. Data is just like crude. It’s valuable, but if unrefined it cannot really be used.

– Clive Humby, DunnHumby

We have for the first time an economy based on a key resource [Information] that is not only renewable, but self-generating. Running out of it is not a problem, but drowning in it or squandering it is.

– John Naisbitt

SME’s, Big Data and Analytics

Doing it

Some Case studies and Tools

Who are we

Balance SustainableDisciplineInnovative

Collaborative Detail oriented Big Picture

Optimization Long term view Fair play Symmetry

Flexible Focused Humility Learning

Paranoid Confidence Creative

Our founding beliefs

Leadership Leadership Leadership

Sales & Ops Sales & Ops

Virtual Organization

Virtual Leadership

Support team

Sales & Ops

Support team

Consulting Support

Start up / Turnaround

Emerging /Languishing

Mid sized / Large

Client Ubika

However SME’s normally have skills only in one or two functions which makes our integrated multi-disciplinary approach the right fit for SME’s that want to hit the ground running

Solving problems / realizing opportunities almost always require skills in multiple functions.

What do we do

Who are weUSA and Process Consulting

Maria Achilleoudes has a MSc from Columbia University and a BSc from City University of New York and a Lean Six Sigma Master Black Belt . She first worked with IBM’s Quality, then Marketing Division in New York. She then joined Universal Bank, Cyprus before starting a consulting firm which works on Cost reduction and Process Improvement jobs.

Canada and Strategy

George Antony has spent 60% of his time with the Big 4 in advisory and the rest in the Industry heading finance for a start up where he raised equity and debt, set up the finance department and managed procurement. In the Big 4 he advised a variety of clients on Process improvement and strategy. At Ubika he works with clients on Strategy, Training and Interim Management. He also teaches entrepreneurship to rural entrepreneurs

george@ubika-hetu.com | +1 647 771 2017 | @togeorge