Advance beyond the ETL.
Your organization crunches more raw data than ever before. Traditional IT systems that are backed by relational databases were gradually augmented with NoSQL-based solutions, data streaming, and raw machine data. As data becomes abundant, the strategy shifts towards the ability to store and use. Without proper planning and implementation, additional raw data does not lead to insights. On the contrary, correlation and causation between data obesity and information oblivion is sadly proven practically. A shift in data handling strategy needs to be made to maintain agility and data decoupling.
Achieve near real-time reporting and visualization using data streaming.
Over 80 percent of data science effort is spent on plumbing between data silos, a leaner way exists.
Nimble provisioning through self-service DevOps enables access to the source of truth.
Asset manager establishes data masters using microservices in 3 months
Case studyML and big data for better pricing at a 3PL
Case study: LoadDeliveredWhite paper
Product-centric funding
How to configure the product development funding process to incentivize measurable product outcomes
Download