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Why, in a world where data skills have never been in greater demand, do so many businesses fail to capitalize on data's potential?
We will explain the ten mistakes to avoid when querying data lakes, focusing on effective best practices for keeping data in data lake storage and querying it directly, thereby raising productivity and efficiency and lowering costs and complexity.
Business intelligence isn’t just about the data you have. What you know about that data and having the skills to use it matter just as much.
Although many companies are excited about machine learning, they often overlook some key success factors, especially when it comes to deploying and operationalizing ML models into production.
Average salaries for full-time DM/A employees and contractors rose by 11.1 percent from 2018 to 2019. Read more in the 2020 TDWI Salary, Roles, and Responsibilities Report.
Business intelligence (BI) has long been a top CIO priority driving technology investment for organizations. Although it is good to see the continued focus on the data and analytics domains, it is also quite disturbing that this seems to imply many of our past investments may not be hitting the mark in terms of success. To help you map out your strategy, we present 10 fatal mistakes you should avoid at all costs based on our experience.
Remember the first time a recommendation engine suggested a movie you might like to watch or an album you might like to listen to? Was that surprising? Intriguing? Creepy? This issue looks at some of the unexpected pitfalls of advanced analytics, and more.
TDWI’s annual Teams, Skills, and Budgets Report enables business data and analytics teams to compare themselves to their peers on a series of organizational and performance metrics. This year’s report is based on a web survey of 113 BI professionals conducted worldwide in spring and early summer 2019.
As you embark on your BI modernization effort, you would do well to learn from companies that have successfully completed their own BI modernization projects—and even from companies that have failed in that regard. If you can avoid their pitfalls, you can ensure a successful BI modernization initiative.
This Ten Mistakes to Avoid focuses on helping organizations make the transition from on-premises data and analytics platforms to cloud-based deployments more efficiently and thoughtfully.
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