Where does Fast Data Strategy Fit within IT Projects

Where Does Fast Data Strategy Fit Within IT Projects

Ravi Shankar, Chief Marketing Officer

Agenda1.The Need for Fast Data Strategy

2.Data Virtualization Use Cases

The Need for Fast Data Strategy

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-Ravi Shankar, CMO, Denodo

Fast Data Strategy is a disciplined approach to the use of agile, real-

time, self-service data technologies such as data virtualization to

deliver data quickly to business users to effect faster outcomes.”

What is Fast Data Strategy?

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The Business NeedFast Data Access to Critical Information to Support Business Processes

MarketingSales ExecutiveSupport

Customers

Warranties

Channels

Products

Access to complete information

Access to related information

Access in real-time

Cross-sell / Up-sell

“Business stakeholders at the executive and line-of-business levels need data faster to keep up with customers, competitors, and partners.”

– Create a Road Map For A Real-time, Agile, Self-Service Data Platform, Forrester Research, Dec 16, 2015

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Manually access different systems

IT responds with point-to-point data integration

Takes too long to get answers to business users

The ChallengeData Is Siloed Across Disparate Systems


Database

Apps

Warehouse Cloud

Big Data

Documents AppsNo SQL“Data bottlenecks create business bottlenecks.”– Create a Road Map For A Real-time, Agile, Self-Service Data Platform, Forrester Research, Dec 16, 2015

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The SolutionData Abstraction Layer

Abstracts access to disparate data sources

Acts as a single repository (virtual)

Makes data available in real-time to consumers

DATA ABSTRACTION LAYER

“Enterprise architects must revise their data architecture to meet the demand for fast data.”


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Data VirtualizationReal-time Data Integration

“Data virtualization integrates disparate data sources in real time or near-real time to meet demands for analytics and transactional data.”


Publishes the data to applications

Combinesrelated data into views

Connectsto disparate data sources

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1

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Benefits of Data Virtualization“Get it Real-time and Get it Fast!”

Better Data Integration

Lower integration costs by 80%.

Flexibility to change.

Real-time (on-demand) data services.

Complete Information

Focus on business information needs.

Include web / cloud, big data, unstructured, streaming.

Bigger volumes, richer/easier access to data.

Better Business Outcome

Projects in 4-6 weeks.

ROI in <6 months.

Adds new IT and business capabilities

“Benefits of Data Virtualization: get it real-time and get it fast!”– William McKnight, President, McKnight Consulting Group

Fast Data StrategyUse Cases

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Common Data Virtualization Use CasesFour Common Use Cases

BIG DATA, CLOUD INTEGRATION

Advanced Analytics

Data Warehouse Offloading

Big Data for Enterprise

Cloud / SaaS Integration

AGILE BUSINESS INTELLIGENCE

Logical Data Warehouse

Virtual Data Marts

Self-Service BI

Operational BI / Analytics

SINGLE VIEW APPLICATIONS

Single Customer View - Call Centers, Portals

Single Product View - Catalogs

Single Inventory View - Inventory Reconciliation

Vertical Specific - Single View of Wells

DATA SERVICES

Unified Data Services Layer

Logical Data Abstraction

Agile Application Development

Linked Data Services

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Advanced Analytics






Virtual Data Marts

Self-Service BI







DATA SERVICES





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Unify enterprise data warehouse with other sources

Achieve comparable performance as physical DW

Lower data warehousing costs by as much as 80%

Agile Business IntelligenceLogical Data Warehouse

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AutodeskLogical Data Warehouse

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Benefits

Successfully transitioned to subscription-based licensing

Uniform data environment for access

Single point security enforcement

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Advanced Analytics






Virtual Data Marts

Self-Service BI







DATA SERVICES





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Combine streaming data with enterprise data

Valuable insight for making informed business decisions

Ideal use case for fast data strategy

Big Data, Cloud IntegrationInternet of Things (IoT)

Benefits

Large Heavy Equipment ManufacturerPredictive Analytics – IoT Integration

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Improved asset performance and proactive maintenance

Increased revenue from sale of services and parts

Reduced warranty costs of parts failure

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Make two data sets appear as single data set

Data consumers decoupledfrom actual location of data

Lower costs while improving information access

Big Data, Cloud IntegrationData Warehouse Offloading

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Advanced Analytics






Virtual Data Marts

Self-Service BI







DATA SERVICES





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Single layer for all data services

Publish data services as RESTful APIs

Accelerate development of SOA applications

Data ServicesUnified Data Services Layer

DATA SERVICES LAYER

Benefits

DrillinginfoData Services

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Achieved rapid time-to-market for their products

Reduced effort from 1 – 2 weeks to less than 1 day

Just 1 developer managing entire data virtualization

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Advanced Analytics






Virtual Data Marts

Self-Service BI







DATA SERVICES





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Data Virtualization

Single View of Any Data –Customers, Products, …

Self-service - search, discover, explore data

Linked Data Services to navigate different entities

Single View ApplicationsSingle Customer View


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Customers

Warranties

Channels

Products

JazztelSingle Customer View

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Reduced client call times by 10%

Doubled customer retention rate

Reduced back office workloads by more than 50%

Benefits

Thanks!

www.denodo.com [email protected]

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Where does Fast Data Strategy Fit within IT Projects