top analytic trends

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Top Analytic TrendsTimo Elliott, SAP Innovation Evangelist @timoelliott

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More, More, More

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#1

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Process data Human data

Machine data

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Unstructured50TB

Semi-structured

2 TB

Structured12 TB

Only

12%used today

Average data volume per company

9 TB 75 TB

0.6 TB 5 TB

4 TB 50 TB

SMBs: LEs:

Base: 634 business intelligence users and planners

Companies don’t use most of their data

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What Is “Big Data”? The Google Summary

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Big Data is at Peak of Inflated Expectations…

Source: Gartner

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Datification

01011011000101010101010010101001111010101010010111010101010101010010010100100100101110110101010

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The Datification of Tennis

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The Datification of Cars

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The Datification of Cars

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The Datification of Cars

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The Datification of Airports

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The Datification of Beer

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“Data-driven decision making played a huge role in creating a second term for the 44th President. In politics, the era of big data has arrived.”

- Time Magazine

The Datification of Politics

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Analytics is Part of the Customer Experience

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ii i

Businessownership

ITownership

HBR: “Analytics 3.0”

Information becomes what you sell

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The #1 Use of Big Data is Customer Analytics

Source: McKinsey

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CUSTOMER SPOTLIGHTL’Oréal• Be a trusted advisor for

customers

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Experience Intelligence Center

Event Interception

Business Transformation

Make People Happy

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Make People Happy

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Enterprise Operating Systems

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SMAC-down! (Social, Mobile, Analytics, Cloud)

“Every business is an information business”

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Analytics Moves To The Core

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Enterprise “Data Lakes” and “Data Hubs”

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Hadoop Expands Data Warehouse Rather Than Replacing It

Source: Gartner

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Big Data Enterprise Data Warehouses

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Perfect Your Pricing and Packaging

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Data Warehouse? Yes, But “Logical”

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Imagine if Your Apps Looked Like a DW to BI Tools

SAP HANA

SAP HANA Live

(Virtual Data Model)

Customer Service Risk Management Team

Finance and Operations

Account Administration

Executive Management

Customers Channel Suppliers Accounting ForecastingInventory Products Pricing Planning

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Here Comes HTAP

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Information Capability Framework

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Big Data Platforms

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SAP HANA Data Platform

SAP Real-time Data Platform

MPP

Sc

ale-

Out

3rd Party BI Client

SAP NetWeaver (On Premise / Cloud)

Custom Apps

SAP Business

Suite

SAP Business

Warehouse

SAP Big Data Applications

SAP Analytics

SAP Mobile

Open Developer APIs and Protocols

Com

mon

Lan

dsca

pe M

anag

emen

t

SAP HANA PlatformSAP Sybase ASE

Com

mon

Mod

elin

gSy

base

Pow

erD

esig

ner

HA

DO

OP

3rd P

arty

DB

SAP Sybase SQLA

SAP Sybase ESP

SAP Sybase IQ

SAP Smart Data Services Platform

SAP Sybase Replication Server

SAP Data Services SAP MDG, MDMSAP

SLT

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Governed Data Discovery

Wikipedia

Local experts EncyclopediaBritannicaEncarta

Collective InsightAnalogy – Encyclopedias

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SAP Lumira Data Discovery

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Location

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Custom Visualization With Lumira

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Three Dimensions

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Predictive For All

Descriptive:What happened?

Diagnostic:Why did it happen?

Predictive:What will happen?

Prescriptive:How can we make it happen?

Predictive reaches maturity

Hindsight Insight Foresight

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The Chauffeur Effect

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Deliver The Right Offer To the Right Customer At The Right Time

Modeling time from 3 months to 3 daysUp to 4x increase in campaign response ratesFrom product to customer marketing

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Skyrock: Social Network

Skyrock blogs is the world's 7th largest social network with 18M visitors and 1B page views every month

Friends recommendations of based on likes

Content recommendations

Banner personalization based on clicks

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Data Inte gration and Qwality Is Still The Big Problem

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Edward James Snowden

Edward Joseph Snowden

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Advanced Profiling

Redundancy Profiling Address Profiling

Validate address data

Dependency Profiling Identify attribute-level

connections in data. (Normalization rules practice)

Redundancy Profiling Identify degree of duplication

Uniqueness Profiling Identify non-unique data

Drill down to duplicate and non-duplicate

records

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Using Analytics To Track Data Quality

Data quality score

metrics

Latest quality score

Quality trend over time / run

Key Quality Dimensions (KPI for data), customizable

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Data Wrangling and Self-Service ETL

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The New Analytics Governance

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Third-Generation BI Competency Centers

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You Are Being

Watched

Big Data Without

Big Brother

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The Analyst View

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Forrester Wave: Enterprise BI Platforms, Q4 2013

Strong proof point of SAP’s leadership in the BI marketSAP finished strongly across Strategy, Current offering, and Market presence #1 on Strategy – on par with Microsoft Slightly behind IBM for Current

offering Top market presence with IBM &

MSFT

SAP moved up and right significantly in comparison to the previous Enterprise BI Platforms Wave dated from Q4 2010

SAP leads the market with broad BI innovations

1

2

3

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Forrester Wave: Big Data Predictive Analytics Solutions, Q1 2013

SAP also differentiates by putting its SAP HANA in-memory appliance at thecenter of its offeringSAP finished strongly across Strategy and Current offering #1 on Strategy – on par with IBM and

SAS Slightly behind IBM and SAS for

Current offering

SAP showed up strongly for first time and #3 vendor in this space.

Newcomer SAP performs well

1

2

3

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Gartner BI & Analytics a

Gartner CPM Suites Forrester ADV b Forrester Self-

Service BI cForrester Big

Data Predictive dGartner Analytics

Market Share e

SAP 1Oracle 2

IBM 3

SAS 4

Microsoft 5

MicroStrategy 6

QlikTech 7

Information Builders 9

TIBCOSpotfire 10

Tableau Software 13

Notes1. General criteria for inclusion: Vendor must have either a Leader or Challenger rating or be rated in more than one Magic QuadrantSourcesGartner - “Magic Quadrant for BI & Analytics Platforms” – Feb 2013; b. Forrester – “Forrester Wave: Advanced Data Visualization Platforms, Q3 2012” – Jul 2012; c. Forrester Wave: Self Service BI Platforms, Q2 202” – Jun 2012; d. Forrester – “Forrester Wave: Big Data Predictive Analytics Solutions, Q1 2013” – Jan 2013; e. Gartner - “Market Share Analysis: Business Intelligence, Analytics and Performance Management, 2012” – May 2013

Leader

Strong Performer

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Conclusion

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Thank you!

Timo Elliott, SAP

timo.elliott@sap.com

Twitter: @timoelliott

Blog: timoelliott.com