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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

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11 dark secrets of data management

CIO Business Intelligence

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key. Others call it the new gold.

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Mastering Data Analysis Report and Dashboard

FineReport

This contemplation is paramount in the realm of data analysis reporting, where the practical application of big data takes center stage. Delving into the intricacies of generating insights and facilitating informed decision-making for enterprises, such as achieving precision in advertising placement, is at the heart of this discourse.

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Business Intelligence Solutions: Every Thing You Need to Know

FineReport

Originally, Excel has always been the “solution” for various reporting and data needs. However, along with the diffusion of digital technology, the amount of data is getting larger and larger, and data collection and cleaning work have become more and more time-consuming. Data preparation and data processing.

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Top 10 Analytics Trends for 2019

Timo Elliott

As business applications move to the cloud, and external data becomes more important, cloud analytics becomes a natural part of enterprise architectures. Compliance drives true data platform adoption, supported by more flexible data management. Cloud brings agility and faster innovation to analytics.

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Top 10 Key Features of BI Tools in 2020

FineReport

As a part of enterprise informationization, there are many reasons for BI platform to do separate management and disaster recovery. On the one hand, governments, Internet companies, and large enterprises attach great importance to informatization construction and require separate maintenance. Metadata management.