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RP firms to spend more on data ‘quality’

Posted on: September 30, 2009

RP firms to spend more on data ‘quality’

By Anna Valmero
First Posted 19:58:00 09/29/2009

Filed Under: Technology (general), Software

MANILA, Philippines – Local firms are seen to spend more on improving the “quality” of business data to hurdle the effects of the global economic recession.

Having organized information aids in better decision-making, streamlining processes and meeting company targets more efficiently, said Deepak Ramanathan, Business Intelligence product Manager for SAS Asia Pacific.

North Carolina-based SAS specializes in analytics software that can be customized to fit certain industries like banking and telecommunications that rely heavily on customer data.

Ramanathan predicts Philippine-based companies overall will hike spending by at least 10 percent.

In a previous report, research firm Gartner noted that half of companies that have built data “warehouses” still fail due to corrupted files that contain inconsistent information. Data, therefore, could be inaccurate and irrelevant.

“When a business has good quality enterprise data, decisions are made with high confidence and the business benefits from better risk compliance, consumer experience and data governance,” Ramanathan said..

He added Asian companies are improving in terms data quality due to compliance to industry regulations.

“Before countries in the US or Europe have better data quality than counterparts in Asia but the landscape is changing because risk compliance is a big driver right now,” Ramanathan said.

Technology, however, is just one component of solving data quality issues.

Ramanathan said ensuring quality data is not a job alone for IT departments because it needs to involve business people who drive overall operations.

“Both must work on leveraging the consistency, standardization and reuse of quality data assets, fixing data at the source and building them on a robust data quality platform,” he said.

“Improving data quality requires people, process and technology adoption (in a business). Every person in the business must be made aware that every data they enter can impact downstream analysis,” he said.


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