time to fly - why predictive analytics is going mainstream

The Briefing Room

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The Briefing Room

Welcome

Host: Eric Kavanagh

[email protected]


The Briefing Room

!  Reveal the essential characteristics of enterprise software, good and bad

!  Provide a forum for detailed analysis of today’s innovative technologies

!  Give vendors a chance to explain their product to savvy analysts

!  Allow audience members to pose serious questions... and get answers!

Mission


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November: Cloud

December: Innovators

January: Big Data

February: Analytics


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Cloud

!   Cloud computing has come a long way and can now offer an array of hosted services: software (SaaS), platform (PaaS), infrastructure (IaaS), as well as other services and resources (storage, security, API desktop, etc.).

!   Cloud services can be deployed as public, private, or as a hybrid according to needs.

!   Using the Cloud means companies can invest less in hardware resources, which can close the gap between large and mid-sized organizations.


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Robin Bloor is Chief Analyst at The Bloor Group

Analyst: Robin Bloor

[email protected]


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! Perceivant offers a SaaS-based Big Data analytics platform.

!   The Platform delivers real-time access to disparate data sources and allows customers to leverage high performance analytics on terabytes of data.

! Perceivant designed its platform for scalability and ease of use, requiring no servers, software licenses or consultants.

! Perceivant lets customers begin with a low-risk, short term license which can be extended after adoption.

Perceivant


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Brian Rowe is CEO at Perceivant. He has been an entrepreneur for the last 10 years and started developing Internet based applications in 1990. He has been Project Manager for various programs with annual budgets between $10m-$20m. As Director of e-Business at Cummins Engine Company, Brian started six online businesses and won CIO Magazine's 50 Best Intranets Award during his tenure. Brian had P&L responsibility at SourceAlliance.com to develop a Distributed Storefront online retail offering. He was the COO and co-founder of Redtrain, a Software Service consultancy. Brian was also a founder of Last Piece Software where he acted as President until the company was acquired by iGoDigital. With a background that bridges both business and technology, he enjoys the fast paced and dynamic startup environment, where these skills can be used effectively. He has a B.S. in Financial Planning and an MBA from Purdue University.

Brian Rowe

Decisions Driven by Insight

● Founded in 2012 based on experience working with data at iGoDigital

● Leveraging nearly a decade of big data and analysis experience acquired while scaling the recommendations business at iGoDigital for some of the biggest names in online retail

● Some of the issues iGoDigital had to solve became desirable to offer as a stand alone tools

Background

● We had 5 TB of data to analyze● Receiving data in all different formats from

many sources● Data had to be prepared for analysis - Joined,

flattened, cleansed● Machine learning algorithms had to run● Additional needs to manually analyze and

report on data● Cash constrained as a startup

How we got here

● So many vendors, so little time● Lots of vendors had partial solutions● Total cost to own and operate the solutions

were far outside our budget 250K/year and up.● So we started building....

○ Our goal was the fastest path to ROI○ Hadoop, Hive, ElasticSearch, MongoDB....

● Started to find out that other people had our same challenges

Searching for a solution

● Data Preparation - Clean & Flatten● Visualize & Analyze● Make a hypothesis, What to predict● Analysis● Implement result● Back Test ● Integrate into business process● Operate it with scaling compute resources● Measure it

A lot of work to do

● McKinsey expects that 60% of big data projects will face a gap in talent by 2018

● People with experience in Hadoop, Hive, Pig, ElasticSearch, NoSQL, MongoDB, R, SAS, etc.

● Data preparation time typically takes 40-50% of an analytics project (ETL/Cleaning)

● TDWI study says data prep is taking longer in 2011 than it was in 2009

● Internal data growing 40% annually (IDC estimate), social data explosion

Big Data issues for businesses

● Target predicts fairly well if a shopper is pregnant based on buying habits and markets to her upcoming purchasing needs

● Combining credit scores with channel data to better price loans increasing channel profitability

● Insights like these can have a big impact on your business and profitability

● You have already made sizeable investments in your data, get value from it!

Breakthrough Insights

● Launch within 30 days● Achieve 50% savings compared to

purchase package solutions● BI Suite of tools - Reporting, OLAP,

charting● Data manipulation - ETL, Cleansing● Partner with you on predictive

engagements ● Access data anywhere you have the

internet● No need to worry about scaling● Easy to integrate back into your existing

systems and process

How Perceivant Can Help

Overview

● Predictive Analytics is not "one size fits all"● These are services engagements● We help determine the right combination of

human expertise and machine learning tools ● We deliver and implement the predictive

formula● We measure the on-going results● This approach identifies hidden

patterns in your data that will not be found with traditional approaches

Predictive Analytics

● Educational institution spending about 500K/year on current BI tools and infrastructure, not including people

● Limited capabilities, slow, no predictive capabilities● RFP produced projects starting at $1M from well known

vendors● Our solution loaded data in 2 weeks

○ BI tools out of the box satisfied many reporting needs○ Real-time query capabilities previously not possible○ Conversion of remaining existing reports○ Creation of new reports including predictive reports○ Creation of history from ongoing point in time data○ Reduced cost by 50% from the current solution

Case Study

● The fastest path to ROI on the market today○ Less than 30 days on-boarding process○ Monthly starting at $2,000○ Leverage sizeable investments already made

in your data

Invest in ROI, not R&D


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Analyst: Robin Bloor

Perceptions & Questions

The Bloor Group

A NEW UNIVERSE OF BI?

The Bloor Group

Open Source, The Cloud and BI (1)

•  Open Source and The Cloud walk hand in hand

•  Together they undermine the traditional DBMS business model in some areas

•  Hadoop and Hadoop++ can happily be deployed in the cloud

•  Hadoop has become the staging place for data and an ETL engine

•  The cloud is a natural prototyping environment - a low risk and possibly permanent location for BI apps

The Bloor Group

Open Source, The Cloud and BI (2)

•  The public cloud is growing at >100% p.a.

•  The private cloud is a gateway drug to the public cloud – and vice versa

•  The cloud devalues many software brands (you can only brand applications now)

•  Open source is beginning to dominate BI cloud deployments by virtue of cost

•  For BI users, the Cloud + Open Source is –  Good enough or better –  A leap-frog opportunity

The Bloor Group

BI Categories

Hindsight: Regular reporting/operational BI

Oversight: Dashboards, OLAP, BPM, etc.

Insight: Data mining, statistical analysis (trends and relationships)

Foresight: Predictive analytics

The Bloor Group

The New BI Universe (?)

The Bloor Group

!  Roughly how much of the software that Perceivant deploys is home-grown in terms of distinct components, i.e., what do you add to the solution?

!  Which other data stores/DBMSs do you use, aside from Hadoop? Any favorites?

!  Is there any aspect of BI that you don’t or wont cater for (CEP, data governance, MDM, etc.)?

!  What kind of predictive capabilities do you provide? Are these standard or bespoke?

The Bloor Group

!  Aside from the customer base is there any aspect of your software stack that could not be implemented at higher scale (e.g., for large companies)?

!  How do you define requirements?

!  How many of your customers take the data scientist consultancy?

!  Roughly how many of your customers eventually choose to specialize the solution?


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Upcoming Topics

This month: Cloud

December: Innovators

January: Big Data

2013 Editorial Calendar www.insideanalysis.com


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Thank You for Your

Attention

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time to fly - why predictive analytics is going mainstream

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