Remove Data Modelling Remove Data Visualization Remove Data Warehouse Remove Embedded Analytics
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The Rise of the Data Team

Sisense

Today, data teams form a foundational element of startups and are an increasingly prominent part of growing existing businesses because they are instrumental in helping their companies analyze the huge volumes of data that they must deal with. Everyone wins!

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Use Embedded Analytics to Modernize Workflows

Sisense

Radial delivers a modern analytics experience with Sisense. Bringing all the data together in one place is vital, but even the most groundbreaking insights are worthless if people won’t actually use the analytics you’ve built for them. Actionable intelligence empowers users. Learn more.

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What Is Embedded Analytics?

Insight Software

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

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Elevate Insights: How Embedded Analytics Boost Decision Intelligence

Insight Software

By providing these tools, your users can transform their raw data into actionable intelligence, driving data-driven business decisions. This technology tackles the traditional data overload by integrating analytical tools directly within your users’ workflow. However, building this feature in-house wasn’t feasible.

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Bridge the Gap Between Reporting and Data Visualization in Power BI

Insight Software

Dynamics ERP systems demand the creation of a data warehouse to ensure fast query response times and that data is in a suitable format for Power BI. The skills needed to create a data warehouse are currently in short supply, leading to long lead times, high costs, and unnecessary risks.

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What is Data Mapping?

Insight Software

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. This includes cleaning, aggregating, enriching, and restructuring data to fit the desired format.

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

Insight Software

This highlights the importance of building or buying a predictive analytics tool that focuses on security, monitoring and transparent communication to effectively manage the potential downsides of incorporating predictive analytics into an application. Should You Build or Buy Your Predictive Analytics Solution?