data-analytics-3-steps-to-faster-insights 
Data Virtualization
NOVEMBER 25, 2020
In recent years, we have seen wide adoption of data analytics. However, most organizations continue to find it challenging to quickly yield actionable insights. Some issues that have been most often cited for this include: Poor data quality: While preparing.
CIO
NOVEMBER 8, 2023
It allowed me to catch my breath as I counted the 148 railcars, winding their way across the county connecting their freight to the next step on their supply chain journey. Having one ecosystem for operational data, people data, and financial data supports better business decision-making long term, which adds to shareholder value.”
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CIO
NOVEMBER 20, 2023
genomic differences come from variations among the nearly 3 billion bases (or “letters”) in our DNA.” genomic differences come from variations among the nearly 3 billion bases (or “letters”) in our DNA.” A variant could be present anywhere among those 3 billion letters, creating incredible complexity. Here’s why.
CIO
OCTOBER 30, 2023
CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient. That’s because data is often siloed across on-premises, multiple clouds, and at the edge.
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Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes.
CIO
OCTOBER 25, 2022
Data & Analytics is delivering on its promise. Every day, it helps countless organizations do everything from measure their ESG impact to create new streams of revenue, and consequently, companies without strong data cultures or concrete plans to build one are feeling the pressure. We discourage that thinking.
TechCrunch
DECEMBER 21, 2022
Today, technologies such as artificial intelligence (AI) and machine learning (ML) are being applied across multiple departments and are helping teams work in synergy at a faster pace. The data gathered in these steps will allow you to identify your business’ root issues quickly, which will then let you assess what to do next.
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