Many organizations complain that they aren’t achieving the success with big data projects they hoped for. At the recent Strata & Hadoop World conference in New York, Information Management spoke with Tara Prakriya, chief product officer at Maana, about why that is, and what can be done about it.


Information Management: What are the most common themes that you heard among conference attendees?

Tara Prakriya: There seemed to be a lot of disappointment over the results of big data projects, with value falling short of expectations. At Strata there appeared to be a lack of process, tools and platforms for subject-matter experts and data science collaboration. There is an inability to combine models and on top of that the right questions aren’t being asked to achieve very specific optimization for enterprises.


IM: What does your company view as the top data issues or challenges this year?

Prakriya: We see two buckets:

First, we create a knowledge model that is in the form of a precise question and develop a model to answer. We then back into appropriate data within what exists in the enterprise and NO more. When getting the data, we are more surgical about the data we are looking at and only use data we need.

Second, Maana is usually deployed into environments in which all the knowledge that should be composed into the desired model can come from sources data under its management. We have more focus on composable knowledge management. We also have the affordance, with our platform, for sharing the knowledge without having to have to share the data itself.


IM: How do these themes and challenges relate to our company’s market strategy this year?

Prakriya: Our theme is about utilizing information in the form of knowledge to get to the ROI for business processes optimization. There is a clear link between a knowledge model that provides answers to the right questions and intelligence decisions that move the needle. We see Fortune 500 companies going through digital transformation and existing technologies are and are focused on getting business value.

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