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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Over the past decade, business intelligence has been revolutionized. Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

Agile analytics (or agile business intelligence) is a term used to describe software development methodologies used in BI and analytical processes in order to establish flexibility, improve functionality, and adapt to new business demands in BI and analytical projects. Identify key business requirements and needs.

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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

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The New Era of Transparency: Navigating CSRD with insightsoftware

Jet Global

While there is talk of the first filing being delayed until 2026, this still only leaves limited time to build robust systems and processes for gathering, verifying, and reporting comprehensive ESG data. Moving data across siloed systems is time-consuming and prone to errors, hurting data quality and reliability.

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How Can Smart Data Discovery Tools Generate Business Value?

datapine

1) What Is Data Discovery? 2) Why is Data Discovery So Popular? 3) Data Discovery Tools Attributes. 4) Augmented Intelligence For Businesses. 5) How To Perform Smart Data Discovery. 6) Data Discovery For The Modern Age. We live in a time where data is all around us. So, what is data discovery?

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Incident management vs. problem management: What’s the difference?

IBM Big Data Hub

An increase in organizations pursuing digital transformation and other technology-driven operations makes incident management even more important given the dependence on technology to deliver solutions to customers. Failing to adhere to an SLA could put your organization at legal or reputational risk.