Click to learn more about author Thomas Frisendal. In my last blogpost Timely Concerns in Data Models, we looked at the basic challenges of dealing with time dependencies in Data Modeling. I promised to continue this quest by going over the history of these issues. How well have we actually solved these challenges? So, hop […]
Building out Your DataOps Strategy: The Missing Link from Pipelines to Collaboration
Click to learn more about author Itamar Ankorion. Data is the lifeblood of every business. It is the most valuable asset as it can provide valuable insight into how to drive better business outcome, uncover revenue opportunities and improve customer services. Enterprises are updating their IT infrastructures with modern technologies such as cloud, data lakes […]
Taking Customer Success Management to the Next Level with Data Analytics
Click to learn more about author Victor DeMarines. The role of the customer success manager is both expanding and transforming and the reason for that shift is ….data. No longer is it enough to simply reduce customer churn. The best customer success managers or customer success data analysts – whatever their actual title may be – […]
How You Should Approach the Secure Development Lifecycle
Click to learn more about author Gilad David Maayan. Is your development process producing secure software? Ensuring that their software is secure is one of the main challenges developers face daily. It is not enough to test the software only at the required stages, which can result in overlooking minor vulnerabilities. The attackers are always […]
Top Priorities for the Cloud Center of Excellence
Click to learn more about author Jay Chapel. One of the terms we have been hearing used more often when talking to prospects and customers alike is Cloud Center of Excellence (CCoE). DevOps, CloudOps, Infrastructure and Finance teams are joining together to create a cloud center to improve cloud operations in the enterprise. These are […]
Credulous Data Science: Part Two – Surveys
Click to learn more about author Steve Miller. This is the Second Part of a two-part series. Read Part One here. About ten years ago, a software vendor with whom my intelligence consulting company partnered conducted a survey on the usage of various analytics platforms that were then prominent in the space. As a proselyte […]
What’s More Predictive Than Predictive Analytics?
Click to learn more about author Karthik Ramasamy. Traditional predictive analytics involve leveraging historical data to identify trends, forecast likely events and conditions at a specific time, and model the best action for the desired result. For example, a manufacturer might try to determine when a machine on the production line will fail, or a retailer […]
Cloud Adoption Underway? Get Your Data Quality in Check First
Click to learn more about author Harald Smith. There’s a tendency to view the cloud, with its promises of continuous delivery models and built-in advanced analytics, as a platform that will reveal fresh and important business insights simply by using it. This is only partially true: Certainly, many organizations have benefited from cloud use. But […]
Guaranteeing Data Integrity in the Age of Big Data
Click to learn more about author Neil Barton. Volume dominates the multidimensional Big Data world. The challenge many organizations today are facing is harnessing the potential of the data and applying all of the usual methods and technologies at scale. After all, data growth is only increasing and is currently being produced at 2.5 quintillion […]
The Latest Retail Insights You Need to Know for Your Data Strategy
Click to learn more about author Mathias Golombek. Breathing new life into retail with data analytics. Retail is a data rich environment that thrives on its ability to identify, anticipate and execute on market and customer opportunities. The sector’s focus on customer experience and the so-called “end-to-end journey” should be contributing to the transformation effort. […]