Remove 2006 Remove Big Data Remove Business Intelligence Remove Reporting
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CRM’s Have a Big Data Technical Debt Problem: Here’s How to Fix It

Smart Data Collective

Customer relationship management (CRM) platforms are very reliant on big data. As these platforms become more widely used, some of the data resources they depend on become more stretched. CRM providers need to find ways to address the technical debt problem they are facing through new big data initiatives.

Big Data 132
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10 IT skills where expertise pays the most

CIO Business Intelligence

Data from the Dice 2024 Tech Salary Report shows that, for certain IT skills, organizations are willing to pay more to hire experts than IT pros with strong competence. Because of this, NoSQL databases allow for rapid scalability and are well-suited for large and unstructured data sets.

IT 130
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FanRuan Recognized with Honorable Mention in the Magic Quadrant for ABI Platforms

FineReport

23, 2021 – FanRuan, a Chinese leading provider of analytics and business intelligence solutions, today announced it has been recognized with Honorable Mention by Gartner in the Magic Quadrant for Analytics and Business Intelligence Platforms [i]. Commented by Gartner. Published 15 February 2021.

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IDC: FanRuan ranks No.1 in China’s BI market share in H1 2019

FineReport

According to IDC Semiannual Software Tracker for the First Half of 2019, China’s business intelligence software market size was $ 210 million in the first half of 2019, with a year-on-year increase of 24.6%. By 2023, the size of China’s business intelligence software market will reach $ 1.65 respectively.

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QlikView vs Qlik Sense vs FineReport, who is better BI tool in 2023?

FineReport

Users can create visual reports according to their own wishes and achieve self-service analysis. FineReport is a very mature reporting tool launched by Fanruan Software in 2006. Users can quickly design reports using a design interface similar to Excel. Qlik Sense supports a comprehensive range of analysis scenarios.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). Most of the data management moved to back-end servers, e.g., databases.

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Data Science, Past & Future

Domino Data Lab

But the business logic kept getting more and more progressively rolled back into the middle layer, also called application servers, web servers, later being called middleware. Then in the bottom tier, you had your data management, your back office, right? That was the origin of big data. Then things changed.