FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis.

Statistics 52

Statistics Data mining Visualization Reporting 52

Birst BI

JANUARY 16, 2018

Machine learning has two imminent, profound implications for individuals and companies using BI and analytics applications. For the vast majority of information workers, this is the definition of self-service analytics. Casual business users soon will have access to this level of data and analytic BI power.

Data-driven 70

Data-driven Analytics Dashboards Machine Learning 70

datapine

JANUARY 6, 2022

Business dashboards are the digital age tools for big data. Capable of displaying key performance indicators (KPIs) for both quantitative and qualitative data analyses, they are ideal for making the fast-paced and data-driven market decisions that push today’s industry leaders to sustainable success.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. People-process-technology speak is no longer enough to traverse the technological landscape. Technology to the rescue! It's not about the technology - or solving the data silo problem.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

datapine

JANUARY 31, 2022

Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data. What Are The Benefits of Business Intelligence? As mentioned above, one of the great benefits of business intelligence and analytics is the ability to make informed data-based decisions.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

datapine

NOVEMBER 27, 2019

The consequences of bad data quality are numerous; from the accuracy of understanding your customers to constructing the right business decisions. That’s why it is of utmost importance to start with utilizing the right key performance indicators – there are numerous KPI examples that can make or break the quality process of data management.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361