Remove data-requirements
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DNV Illuminates the Utilities Industry with Insights and Data

Sisense

In order to do this, my team uses data to identify problem areas and potential issues for our customers (ideally before they happen). Like many organizations, our utility company clients are sitting on copious amounts of data from a variety of sources, including mobile applications and streaming data captured by grid-edge technologies.

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Master Your Analytics Challenges With Professional Embedded BI Tools

Data Pine

3) The Link Between White Label BI & Embedded Analytics 4) An Embedded BI Workflow Example 5) White Labeled Embedded BI Examples In the modern world of business, data holds the key to success. That said, data and analytics are only valuable if you know how to use them to your advantage.

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Top 10 Analytics And Business Intelligence Trends For 2020

Data Pine

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. Suddenly advanced analytics wasn’t just for the analysts.

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Conquering the SAP Data Management Maze with Process Runner’s Easy Workflow

Insight Software

Modern businesses thrive on accurate, timely data. But when it comes to managing your SAP system, it can be easy to get lost in the data maze. Navigating the Data Maze: Challenges in the SAP Landscape For SAP users, data management can feel like a labyrinth, fraught with obstacles and frustrating dead ends.

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Improve Retention by Bridging the SAP-to-Excel Gap

Insight Software

Finance teams are under pressure to slash costs while playing a key role in data strategy, yet they are still bogged down by manual tasks, overreliance on IT, and low visibility on company data. This expansion of responsibilities is exacerbating the well-documented trend of finance team burnout, leading to undesirable turnover.

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What is Data Mapping?

Insight Software

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

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The Benefits, Challenges and Risks of Predictive Analytics for Your Application

Insight Software

In this modern, turbulent market, predictive analytics has become a key feature for analytics software customers. Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future. This can raise concerns about data privacy and security.