Big Trends in Big Data & Analytics презентация

Congratulations!

Biggest Barriers to Business Intelligence

Plus Ça Change…

Business Intelligence Success…

The Opportunity

There’s Been An Explosion of New Technology

Big Data Discovery

Big Data Discovery Simpler to use than data science Accessible to a wider range of users Broad range of data manipulation features Able to handle new types of data sources With adequate performance for big data

The Rise of the Citizen Data Scientist?

New Products & Services

The Opportunity

SAP’s Opportunity

The Landscape is Converging

May Imply Differently Sliced Products?

Decision Cockpits

Wal-Mart’s Data Café (“Collaborative Analytics Facilities for Enterprise”) Data from 245M customers/week, 11,000 stores under 71 banners in 27 countries and e-commerce websites in 11 countries with $482.2 Bn sales and 2.2M employees. 250 Bn rows of data 94% of queries run < 2s >1,000 concurrent users even under heavy loads. Data load throughput >20 million records/hour

Mercy Health

Hadoop Rising (?)

The End of the Hadoop Honeymoon?

The New Multi-Polar World of Big Data Architectures

Apache Atlas

Data Wrangling Eats Into ETL

Data Preparation is a Highly Iterative and Time-consuming Process Commonly accepted that ~80% of the work on data analytics is in preparation

Self-service Data Preparation Tools Reduce the Time and Complexity of Preparing the Data

SAP Agile Data Preparation: Cleanse

SAP Agile Data Preparation: De-Duplicate

SAP Agile Data Preparation: Merge

SAP Agile Data Preparation: Admin

SAP Agile Data Preparation: Operationalize

Data Visualization is Cool… (but)

We Still Need Reporting and Dashboards!

We Need To Support The Analytics Lifecycle

Transport For London

Centerpoint Energy

Modeling Example E.g. Total energy consumption Aggregation of 10 sec values Calculation of typical consumption patterns Pattern associated with each compressor and day Repeat for temperature, pressure, vibration, etc.

Predictive Examples Model combines sensor readings and ERP data (location, type of usage, last service, etc.) Status alerts: “Oil change / oil analyze / no action” Predict machine failure 24 hours in advance

High-Level Technical View

Benefits Customers Less downtime Decreased time to resolution Optimal longevity and performance Kaeser More efficient use of spare parts, etc New sales opportunities Better product development

SAP HANA Cloud Platform - the Internet of Things enabled in-memory platform-as-a-service

SIEMENS Cloud for Industry

Tweeting Sharks!

Drones

Time to Reach For The Clouds?

Finance & Analytics: It’s Déjà Vu All Over Again

Is This Your Finance Team?

Rise of the Ops People*

Ops People Everywhere = Financial & Analytics

Planning For The Rest of Us

It’s Not You, It’s Your Data… “We found, on average, that 45% of the data business people use resides outside of the enterprise BI environments. An astonishingly miniscule 2% of business decision-makers reported using solely enterprise BI applications. This is undoubtedly connected to 76% of business respondents indicating they continue to resort to spreadsheets and other homegrown BI applications to analyze BI data. ” Source: Forrester

Suits vs. Hoodies

Advanced Governance Central IT no longer has a veto — you need the “consent of the governed” This means you have to behave more like a politician…

Build and Nurture a Community Regular face-to-face meetings Bring people together across silos: IT, Analysts, Business Leaders, Execs Presentations of successes best practices Invite external speakers Virtual communities Leverage internal social tools for people to share information Community-driven BI content Community self-policing Act as BICC eyes and ears to discover projects, opportunities Social mechanisms to ensure the “right behaviors” Ensure support at all levels Not just executives — middle and users

Conclusion: There’s a LOT Going On in Analytics The future of the boardroom (finally) SAP HANA & Hadoop Multi-polar big data architectures Self-service data preparation Supporting the analytics lifecycle Prescriptive and predictive analytics Internet of things for business Big data discovery Finance and analytics converge (again) Analytics culture & governance