Remove enterprise-it 5-best-practices-optimizing-your-unstructured-data
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Business Intelligence tools & use cases

Apiumhub

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information.

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Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. Besides, it means having information about your suppliers, customers, carriers, and other partners, as well as about your internal processes all along the line.

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Top 5 Technology Trends for 2022

Apiumhub

Top 5 Technology Trends for 2022. Data-based Solutions. Data-based solutions discover what companies really need to help make strategic decisions based on data analysis. Gartner argues that data “ can reduce data management efforts by up to 70% ”. Cloud-Native Platforms. Privacy is trendy.

Trends 59
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Data Science use cases & tools

Apiumhub

Data science continues to evolve as one of the most promising and in-demand career paths and services. It is a forward-looking approach, an exploratory way with the focus on analyzing the past or current data and predicting the future outcomes with the aim of making informed decisions. What is Data Science? Classification (e.g.,

Tools 72
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Analytics Maturity Model: Levels, Technologies, and Applications

Altexsoft

Some well-known and widely quoted examples are Albert Einstein saying, “The intuitive mind is a sacred gift,” and Steve Jobs with his “Have the courage to follow your heart and intuition.”. In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Stages of analytics maturity.

Analytics 102
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DATA, DATA EVERYWHERE – NOT A BYTE TO USE

Trigent

Introduction – Dealing with the data tsunami Data, when properly processed and analyzed, can substitute assumptions with knowledge. As a result, implementing Data-driven systems is a daunting prospect, leaving valuable data unused or underutilized. Big Data / Fast Data – Do I need both?

Data 52
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FHIR – The Winning Edge for Successful Patient Engagement

Trigent

Their proliferation into the world of healthcare has left professionals grappling with changing regulations, interoperability issues, and loads and loads of inconsistent, unstructured data. We need ways to weave patient data into the healthcare fabric seamlessly. FHIR is omnipresent.