The Big Trends in Big Data презентация

The Big Trends in Big Data Timo Elliott, Global Innovation Evangelist, SAP

Agenda Big Data Directions Using Big Data to Improve The Customer Experience Using Big Data to Empower Employees Using Big Data to Optimize Resource Use Using Big Data for Business Networks Wrap-up

Big Data Directions

Discuss

The World Has Turned Upside-Down

Analytics Moves to the Core

Information Becomes a Profit Center

What Is Big Data? The Google Summary …

Big Data Is Not Only About “Big” Data “My analytics are becoming more difficult because of the variety and types of data sources (not just the volume)”

Big Data Adds New Data Opportunities

Big Data is “Signal” Data

Predictive Reaches Maturity

Companies Don’t Use Most of Their Data Today

Transactions Are Still a Big Part of Big Data “Which types of data do you anticipate using in the next year?”

Big Data Is Heading for the “Trough of Disillusionment”

Benefits from Big Data Initiatives # 5 Identified new product opportunities (6%) #4 More reliable decision making (9%) #3 Improved operational efficiency (11%) #2 Identified new business opportunities (31%) #1 “DON’T KNOW” (51%)

Hadoop and Other “NoSQL” Technology

Hadoop is Complementary, Not a Replacement

A Typical Example of DW and Hadoop Integration

OLTP + OLAP = HTAP “Hybrid transaction/analytical processing will empower application leaders to innovate via greater situation awareness and improved business agility. This will entail an upheaval in the established architectures, technologies and skills driven by use of in-memory computing technologies as enablers.” Gartner, 2014

With HTAP, the Operational Schema Looks Like a DW

Big Data Architecture Directions: Short Term Where does data arrive? When does it need to move? Where does modeling happen? What can users do themselves? What governance is required?

Big Data Architecture Directions: Long Term Where does data arrive? When does it need to move? Where does modeling happen? What can users do themselves? What governance is required?

Opportunity Areas for Innovation Big Data initiatives are typically in one of the following areas:

Using Big Data to Improve the Customer Experience

Personalized Service

Simplifying Systems

Real-Time Retail Insights

Social Data

Unstructured Data

New Products and Services

Network Analysis

Sharing Data with Customers

Using Big Data to Empower Employees

Worldwide, Only 13% of Employees Are Engaged at Work

Empowering Individual Performance Adapting to the analytics needs of your employees

“Self-Service” Analytics

Analytics Collaboration

Collaborative Analytics

Using Big Data to Optimize Resource Use

Unilever

Nope

Textile Rubber & Chemical Company

Textile Rubber & Chemical Company Primary Goal: Simplification One source for all data within SAP, no separate transactional and reporting databases, less infrastructure to maintain, no need to learn BW and ETL solutions SAP BusinessObjects and SAP Suite on HANA considered “better fit” than BW Live in four weeks. 65 SAP users today, growing to 150 Speed increases “were just a bonus”, but real-time KPIs a big hit

Big Data Process Mining

The “Datafication” of Daily Life

Unexpected Uses of Existing Data

Data, Data, Everywhere

Sensors Allow Tracking of the Previously Untrackable

Sensors + Cloud + Mobile + Analytics

Sensors + Cloud + Mobile + Analytics (cont.)

Networked Crane Safety

Crane Safety

Sensors + Analytics + Predictive Maintenance

Making It Easier to Add Sensors

Using Big Data for Business Networks

Networked economy: the next economic revolution

Information Ecosystems

Business Networks Are Becoming Information Networks

The SAP Big Data Strategy

SAP Big Data Architecture

Three Core Areas of Big Data Strategy

The SAP HANA Platform and Hadoop

Front-End Tools Adapted to Different Needs

Big Data Applications — E.g., Risk, Sensing, …

Design Thinking

Wrap-Up

7 Key Points to Take Home Big Data is a huge opportunity Get closer to your customers through better insight and hyper-personalization Use “datafication” to make better use of resources Empower your employees to make better decisions Leverage your business networks Big data is the heart of your next IT platform — simplicity and flexibility are essential The biggest barriers are ideas and culture — use design thinking to help

Thank you Timo Elliott, SAP timo.elliott@sap.com Twitter: @timoelliott Blog: timoelliott.com