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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics vs. business analytics.

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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

Among the latest BI trends , advanced analytics and predictive modeling stand out as key focal points, enabling businesses to extract deeper insights from their data assets. In addition to these advancements, another prominent trend in data analysis is the growing impact of data visualization.

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Top Business Intelligence Features To Boost Your Business Performance

datapine

This data is usually saved in different databases, external applications, or in an indefinite number of Excel sheets which makes it almost impossible to combine different data sets and update every source promptly. BI tools aim to make data integration a simple task by providing the following features: a) Data Connectors.

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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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How Tax Professionals Leverage Software to Become More Strategic

Jet Global

Reshaping Future Growth: Top Tips on How to Manage Tax Forecasts. As the world demands greater business agility, and as BEPS promises to radically shift the tax landscape, tax departments have a powerful case for change. The tax team’s work often hinges on the quality and timeliness of the finance data that underpins their forecasts.

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Improve Retention by Bridging the SAP-to-Excel Gap

Jet Global

Inefficient and time-consuming processes: • Without seamless integration and real-time access to SAP data, finance teams may spend a significant amount of time on data extraction, transformation, and loading (ETL) processes.

Finance 52
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How to Bridge the Skills Gap with Automation

Jet Global

Finance decision makers should seize every opportunity to automate processes when possible, freeing up resources for deeper analysis and strategic planning and forecasting. Get a Demo See how companies are getting live data from their ERP into Excel, and closing their books 4 days faster every month.

Finance 52