FineReport

MARCH 24, 2024

The primary objective of a data analyst is to transform raw data into meaningful insights that drive organizational improvements. By conducting extensive research and analysis, they generate reports that inform strategic decisions, identify areas for enhancement, and guide the implementation of new initiatives.

Statistics 52

Statistics Data mining Visualization Reporting 52

datapine

MARCH 31, 2022

Being able to clearly see how the data changes in time is what makes it possible to extract relevant conclusions from it. For this purpose, you should be able to differentiate between various charts and report types as well as understand when and how to use them to benefit the BI process.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

FineReport

APRIL 9, 2024

By harnessing the power of healthcare data analysis , organizations can extract valuable insights from complex datasets, ultimately leading to improved healthcare outcomes and operational efficiency. The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Smart Data Collective

FEBRUARY 20, 2022

More companies are investing in big data than ever these days. One survey published on CIO found that less than a third of companies have reported that big data has buy-in from top executives. If you are running a business that has not yet adapted a data strategy, you should keep reading.

Big Data 111

Big Data Management Finance Data-driven 111

Jedox

JANUARY 16, 2019

1: Predictive Analytics. The progression from descriptive to diagnostic to predictive analytics will continue to accelerate. This also has the additional benefit of moving the FP&A function further up both the analytical intelligence and value creation curves. 3: Dynamic Planning, Budgeting and Forecasting.

Finance 45

Finance Forecasting Predictive Analytics Cost-Benefit 45

FineReport

APRIL 26, 2023

.” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Predictive Analytics assesses the probability of a specific occurrence in the future, such as early warning systems, fraud detection, preventative maintenance applications, and forecasting.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Smart Data Collective

APRIL 7, 2022

There are many reasons that data analytics and data mining are vital aspects of modern e-commerce strategies. These benefits include the following: You can use data analytics to better understand the preferences of your users and provide personalized product recommendations.

B2B 106

B2B Sales Big Data Cost-Benefit 106

Smarten

JANUARY 31, 2019

How is Advanced Analytics Different from Business Intelligence? Put simply, business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response and discover what is changing in customer buying behavior and in sales.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Smarten

MAY 24, 2017

To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. Original Source – Power Up Your Predictions with Plug n’ Play Predictive Analysis.

Forecasting 40

Forecasting Business Intelligence Sales Predictive Analytics 40

Jedox

JULY 31, 2018

First-generation EPM software tools enabled normal business users to view their data from various angles and store it safely in a database specialized for flexible planning, analytics, and reporting. Since that time, the amount of data has skyrocketed while processing power has soared and storage options have dropped in price.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

Smart Data Collective

MAY 11, 2023

Earlier this year, we talked about some of the major changes that data has brought to the financial sector. Bhagyeshwari Chauhan of DataHut writes that one of the major ways that big data helps is with identifying fraud. Predictive analytics and other big data tools help distinguish between legitimate and fraudulent transactions.

Data mining 98

Data mining Big Data Sales Cost-Benefit 98

Rita Sallam

JULY 22, 2016

And here we are now, past the tipping point of a more than 10 to 11 year transition away from IT-centric reporting platforms to modern BI and analytics platforms that make up much of the new buying in the BI and Analytics market. Q4: Are we going to discuss Predictive types of Analytics in this discussion?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

datapine

MARCH 25, 2022

On the other hand, BA is concerned with more advanced applications such as predictive analytics and statistic modeling. This also allows the two terms to complement each other to provide a complete picture of the data. Your data is used differently depending on whether you are conducting BI or BA analysis.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Decision Management Solutions

JULY 8, 2020

The research looked at the increasingly broad portfolio of analytic capabilities available to enterprises – everything from traditional Business Intelligence (BI) capabilities like reporting and ad-hoc queries to modern visualization and data discovery capabilities as well as advanced (predictive) analytics.

Reporting 134

Reporting Analytics ROI Key Performance Indicator 134

datapine

AUGUST 29, 2022

An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”. 7) Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by Eric Siegel.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

BizAcuity

MARCH 31, 2022

Gaming companies use AI for segmenting players and predicting churn rates in order to retain them through effective campaigns. Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

FineReport

JULY 18, 2022

FineReport is a business intelligence reporting and dashboard software that helps enterprises transform data into value. Key features: It supports connecting to almost all mainstream data sources so that you can analyze data from different sources in just one single report or dashboard. SAS Forecasting.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

datapine

NOVEMBER 27, 2019

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.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

MAY 1, 2023

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. It will show you what embedded analytics are and how they can help your company.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52