How Small & Medium Sized Businesses Can Tap Into Big Data & Analytics – Part 2

By Rahul Agarwal, 

In my blog on part one of this topic, I have explained that choosing the right analytic solution that is simple, smart and agile is an important step in your journey to become an analytics driven organization.

Another important aspect for you to consider is the completeness, accuracy and timeliness of the data that is being fed into this analytic solution. As the number of data sources increase in number, chances are that, your data is spread across multiple applications and systems (your data may reside in departmental databases and/or may be as granular as user spreadsheets). Hence it is extremely important to have robust information integration capabilities in order to create utmost confidence in data, and thus in the results of your decision-making. Only with that assurance of trust can you be sure that your analytics initiatives will succeed.

A study conducted by Ventana Research has found that data spread across applications and systems, and multiple versions of the truth are the most frequently cited barriers to efficient information management.[1]

IBM InfoSphere Information Server for Data Integration

IBM InfoSphere Information Server for Data Integration is a market-leading data integration platform that helps organizations ensure that the information that drives their business and strategic initiatives is trusted, consistent and conforms to governance policies. It delivers agile integration capabilities so that businesses can integrate data quickly and flexibly wherever it resides.

The Good News

Here is the good news for you. You can accelerate time to value when deploying a trusted data warehouse analytic solution by taking advantage of the tight, fast connectivity between InfoSphere Information Server and PureData System for Analytics.

Shanghai-based Haitong Securities Co. Ltd has used the combination of IBM PureData System for Analytics appliance and IBM InfoSphere DataStage and IBM Cognos Business Intelligence V10 software to capture data from multiple systems in near-real time and perform extensive data mining and real-time search. The new system is helping the company reduce the time taken to compile comprehensive reports from 10 days to a single day.  In addition, better segmentation and targeting of customers has helped increase cross-selling and up-selling effectiveness, boosting commission revenue by 10%.

PureData System for Analytics N3001 includes software entitlement to 280 PVUs of IBM InfoSphere DataStage 11.3, including two concurrent users of the Designer Client and use of InfoSphere Data Click for self-service data integration to enhance business agility.

In Conclusion

As your business grows, quick and efficient data integration capabilities become increasingly important. They may be difference between having time to work on innovative new projects or being caught in the drudgery of managing existing data systems. And for your business, it can mean quicker, more informed decision-making leading to a stronger bottom line, better customer service and competitive advantage.

More information on the IBM PureData System for Analytics N3001-001 and the software entitlements can be found at this link.

About Rahul Agarwal

Rahul Agarwal is a member of the worldwide product marketing team at IBM that focuses on data warehouse and database technology. Rahul has held a variety of business management, product marketing, and other roles in other companies including HCL Technologies and HP before joining IBM.  Rahul studied at the Indian Institute of Management, Kozhikode and holds a bachelor of engineering (electronics) degree from the University of Pune, India. Rahul’s Twitter handle :  @rahulag80



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