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6 Ways to Use Data to Improve Employee Productivity

Smart Data Collective

Data analytics offers a number of benefits for growing organizations. A highly productive team enables an organization to meet its goals and objectives. Time tracking enables you to make informed decisions dependent on accurate data. One of the biggest advantages is that it can bolster employee productivity.

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Everything You Need to Know About Project Management Dashboard

FineReport

In the subsequent sections, we elucidate the key benefits in detail: Enhanced Project Visibility: Project management dashboards provide a centralized and real-time view of project data, allowing stakeholders to easily monitor and track project progress, tasks, and milestones. This includes financial, personnel, and other necessary resources.

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The Benefits of Data Governance in Banks and Financial Institutions

Alation

Banks collect and manage a lot of sensitive data. And, the data collection doesn’t stop there — rich insights like transactions and purchasing information help to round out customer profiles. Establishing metrics to quantify effectiveness. Enabling data access is just the first step.

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12 considerations when choosing MES software

IBM Big Data Hub

If you are experiencing inefficiencies, bottlenecks, quality control challenges or compliance issues in your production processes, an MES can provide real-time data and performance analysis across production lines to identify and address these issues promptly.

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Move Beyond Excel, PowerPoint And Static Business Reporting with Powerful Interactive Dashboards

datapine

An interactive dashboard is a data management tool that tracks, analyzes, monitors, and visually displays key business metrics while allowing users to interact with data, enabling them to make well-informed, data-driven, and healthy business decisions. What Is An Interactive Dashboard?

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Welcome To The Digital Age: BI Meets Social Media

Smart Data Collective

Simply speaking, BI is a set of technologies, processes, and tools that help businesses collect, process, and analyze data to make informed decisions. Relational databases emerged in the 1970s, enabling more advanced data management. In the 1990s, OLAP tools allowed multidimensional data analysis.

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Using DataOps to Drive Agility and Business Value

DataKitchen

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco.

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