The document discusses various analytics services including predictive analytics for finance, clinical trials, customer segmentation, and grid analytics. It describes an enterprise data science platform that integrates data from various source systems and covers business vision, processes, data, technologies, and user adoption. The platform includes a big data lake that integrates data across formats and structures with built-in data governance. Specific analytics services are discussed for financial services, retail, power and utility, and oil and gas industries, powered by technologies like SAP HANA, Hadoop, R, and open source.

1. Industry Analytics as a Service (AaaS)
 Financial PredictiveAnalytics
 FinanceTransformation - Planning, Forecasting, and Budgeting
 Grid Analytics
 ClinicalTrial & Patient Informatics
 MidstreamVolume, Revenue and Cost Prediction
 Basket Analysis,Omni Channel,Traffic, Store Operations and
Merchandise
 Customer Segmentation, Sentiment, Market Share and Market Size

2. Enterprise Data Science
Business AnalyticsTransformation
 We have a proven enterprise data science platform which
integrates data through business process regardless of source
systems such as Oracle, SAP, Microsoft, IBM, and HADOOP.
 Enterprise Data Science = BusinessVision {+} Business Process {+}
Process Driven Data {+} EnablingTechnologies {+} User Adoption
 I cover all of the above, and I am confident to handle any complex
business problems on enterprise data sciences at all levels - from
executive levels to technical developers.
 Enterprise data science is not just about HADOOP, or dashboards,
reports, ad-hoc queries, models and/or algorithms, it’s beyond all -
It’s about empowering business through big data, analytics and it’s
enabling technologies.

3. Our Modern Enterprise Data
Warehousing: Big Data Lake Platform
 Our ready to go big data lake platform integrates data across
enterprise, data format and data structure.
 Ensures data governance and quality as a build in function.
 Platform as a Service (PaaS) powered by SAP HANA, Oracle
12C With ODI, HADOOP, and open source.

4. Financial Services and Insurance Industry
Co-innovation with SAP America
 Our financial predictive analytics provides in-depth financials
insights on real-time using structured business transactions
with unstructured data.
 Enables finance organization to accurately predict and act on
business future direction based on market condition.
 Our analytics empowers businesses to plan and forecast
financials at lowest level (ex. SKU ) of their products and
services.
 Analytics as a Service (AaaS) powered by SAP HANA,
HADOOP, "R", and open source technologies

5. Retail and Consumer Packaged Goods Industry
Co-innovation with SAP America
 Retail analytics integrates every Retail functions through
data.
 Our approach to analytics is different, we are beyond models
and algorithms and we drive analytics from business goals
and objectives.
 Analytics as a Service (AaaS) powered by SAP HANA,
HADOOP, "R", and open source technologies

6. Power and Utility Industry
 Our Grid analytics integrates many data sets including billing,
metering, substation, transformer, load, customer,
consumption, sales, and financial for planning, forecasting,
predictive analytic, and advanced analytics.

7. Oil & Gas Industry (Upstream,
Midstream, Downstream)
 Our predictive model connects oil reserves to production
schedule to volume to price to revenue to cost to margin for
deeper insights.
 Advanced visualization enables business to analyze data in a
simple visual format.
 Analytics as a Service (AaaS) powered by SAP HANA,
HADOOP, "R", and open source technologies