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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

Data quality is no longer a back-office concern. In this article, I am drawing from firsthand experience working with CIOs, CDOs, CTOs and transformation leaders across industries. I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. 95-100%) with automated data entry Validations.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

Collect and prioritize pain points and key performance indicators (KPIs) across the organization. To succeed, a deployment must have the support of key business areas, from the get-go. IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation.

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Welcome To The Digital Age: BI Meets Social Media

Smart Data Collective

Aubree Smith has a great article on Sprout Social highlighting the benefits of leveraging them together. The past decade integrated advanced analytics, data visualization, and AI into BI, offering deeper insights and trend predictions. The two combined are taking the world by storm, and all you can do about it is keep up.

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LCNC in BI and Predictive Analytics

Smarten

The Use and Benefits of Low-Code No-Code Development in Business Intelligence (BI) and Predictive Analytics Solutions Introduction In this article, we will discuss Low-Code and No-Code Development (LCNC) and the use of the Low Code and No Code approach for business intelligence (BI) tools and predictive analytics solutions.

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The What, Why and How of Successful Management Reporting

FineReport

These are very useful as they provide corporate leaders with accurate data and detailed management conditions, which helps them make smarter decisions and adjust strategies. In this article, we’re going to introduce the what, why, and how of successful management reporting and provide solutions for you.

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Adding AI to Products: A High-Level Guide for Product Managers

Sisense

AI can add value to your product/service in many ways, including: Improved business performance Reduced costs Increased customer satisfaction Improved brand value Risk reduction (reduced human error, fraud reduction, spam reduction) Improved convenience and accessibility of products. Improving performance with AI.