Companies Struggle to Extract Information Amid Hype on Big Data Adoption

Big Data

As companies are now getting priorities on big data, some of the companies are having difficulties in extracting the information amid the hype / Photo by: DARPA via Wikimedia Commons

 

As more companies begin to prioritize big data analytics in IT initiatives, others are struggling with a series of issues related to information gathering, according to a report from big data company Syncsort.

The report showed that big data, due to its effectiveness, is among the overall findings connected to general IT initiatives, including a list of the top business initiatives for 2019. The leaders of the said list are cloud/hybrid computing, modernizing infrastructure, data governance, and predictive analytics.

While 68 percent of respondents said their efforts on data analytics have been foiled by data siloing (or data isolation), only 25 percent of them said data analytics is their top priority for the year, TechRepublic said, citing the Syncsort report.

One of the conclusions that the report found was that professionals are facing challenges with delivering data to business users, citing data siloing as one of the main causes for the struggle. But even with issues on data accessing, only 38 percent of the respondents say they seek to put first the enhancement of data access for decision making in 2019.

Instead of developing access to data, most firms are planning IT initiatives that emphasize on ramping efficiency, enhancing customer experience, and lowering cost—all of which may have an instant effect on big data effectiveness, be it for the good or the bad, TechRepublic states.

It adds that because of this, the responses on questions as to why businesses are ineffective at extracting big data insights are dim: 53 percent said their organization has insufficient IT skills or staff to work on getting useful data insights; 50 percent admitted they lack the tools needed to insert downstream apps with the proper data at the proper time; 44 percent didn't have enough time to look over data; and 31 percent revealed their group has yet to sufficiently invest in analytics platforms.

Moreover, it's also possible that business and IT goals only make up a portion of the entire picture, considering the fact that there is a lack of adoption on data lakes. This kind of adoption is the opposite of data siloing: all of an organization's raw data is compiled together in one repository that will be sorted through later on, instead of keeping it stored in siloes.

Merely nine percent of the respondents said they have adopted data lakes for five years or more, while 24 percent said they have used the technology for less than two years, and 23 percent are still pondering on whether to use data lake at all.