NTT i3 Point of View: Analytics

© Copyright 2014 - NTT Innovation Institute Inc. For internal use only.

NTT i3 ANALYTICS POINT OF VIEW

- 1 -

Delivering Actionable Insights for Smart Decision Making


TODAY’S MOST INNOVATIVE BUSINESSES WIN BY USING BIG DATA TO ALTER CUSTOMER ENGAGEMENT AS CUSTOMER BEHAVIOR CHANGES

2

“One of the secret sauces of Starbucks is customization”,

Howard Schultz.

Netflix recommendations are based more on what viewers

watch than the ratings they give. 75% of what viewers watch comes

from recommendations.

Tesla customer care exceeds what every other car company

promises. Applied analytics makes the difference.


EXTRACTING KNOWLEDGE AND VALUE FROM LARGE HETEROGENEOUS DATA SETS REMAINS DIFFICULT EVEN AS BUSINESSES HAVE STARTED TO INVEST IN BIG DATA ANALYTICS

3

The cumulative big data spending between 2011 and 2016 will exceed $232 billion (Source: Gartner – Predicts 2014: Big Data)

A significant void of relevant talent across all technology layers in the tech stack drive

costs higher

Different and evolving big data management and analytics

technologies demand special skills

Information governance and inadequate network

infrastructure prevent centralized analytics efforts


BUSINESS AND IT LEADERS NEED A USER-FRIENDLY TOOL TO RAPIDLY ITERATE, VISUALIZE, AND DISCOVER INSIGHTS TO GENERATE ACTIONABLE INTELLIGENCE WITHOUT COSTLY UPFRONT INVESTMENT OR ADVISORY SERVICES

4

Heterogeneous data processing in batch or real-

time

Complex, advanced analytics and machine learning

features hidden from the business user

Easy-to-use interface for users to create models and gain

insights


TODAY’S ANALYTICS SOLUTIONS PROMISE SELF-SERVICE INSIGHTS BUT DO NOT ADDRESS THE FULL DATA LIFECYCLE OR ARE LIMITED TO A SPECIFIC DOMAIN OR TECHNOLOGY

5

Product / Service Data Capture

Data Preparation

Big Data Store and Access

Statistical Modeling

Machine Learning / Data Mining

Data Visualization / Discovery

SnapLogic, Informatica, Boomi, Paxata ✓ ✓

Cloudera / MapR / HortonWorks (Hadoop Stack)

✓ ✓ ✓ With R

Alteryx, Knime, RapidMiner, RevolutionAnalytics, BigML, Wise.io, Skytree, Jubatus, SciKit-learn, Weka, Algorithm.io, ersatz

✓ ✓

QlikView, Tableau, Jaspersoft ✓ ✓

Ayasdi ✓ ✓ ✓

Yottamine Analytics ✓ ✓

Terradata Aster, IBM SPSS / SAS ✓ ✓ ✓

The products / services listed here are only a subset of those available in the market today.


AS A RESULT, BUSINESSES INCUR SIGNIFICANT COST TO INTEGRATE DIFFERENT PRODUCTS AND SERVICES TO ADDRESS THE END-TO-END DATA PIPELINE TO SOLVE REAL BUSINESS PROBLEMS

6

Every domain requires a different data set,

preparation tools, and techniques

Users do not have the skills needed to take

advantage of big data and machine learning

Machine learning products are not easy to

learn, deploy, and are evolving

Data visualizations are not rendered for

interactivity and self-service data discovery

Sales Marketing Service

Manufacturing Supply Chain

Distribution

Machine to Machine

Connected Cars

Social Mobile


NTTi3 IS BUILDING AN EXTENSIBLE, SELF-SERVICE BIG DATA ANALYTICS SOLUTION FOR BUSINESS USERS TO RAPIDLY ITERATE ON LARGE DATA SETS TO GAIN VALUABLE INSIGHTS AND ACTIONABLE INTELLIGENCE

7

Data Preparation

Use data wrangling tools to prepare data from diverse sources and different formats to create useful data sets

Feature Engineering Explore structured datasets to understand data distribution and relevance to identify significant features for machine learning

Data Products Deploy predictive models along with interactive data visualization to enable self-service data discovery

Data Capture Capture and securely access data across all business touch points, domains and processes

Machine Learning Select algorithms from the library to build and compare models to identify the best model for any problem


NTT INNOVATION INSTITUTE INC. Follow us on Twitter @NTTi3 and visit us at http://www.ntti3.com

8

NTT i3 Point of View: Analytics

Technology

Transcript of NTT i3 Point of View: Analytics