CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What is the difference between business analytics and business intelligence?

Business Analytics

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics

Sisense

AUGUST 11, 2019

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. So…what is the difference between business intelligence and business analytics? What Does “Business Analytics” Mean?

Business Intelligence

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems vs. business intelligence DSS and business intelligence (BI) are often conflated. Decision support systems are generally recognized as one element of business intelligence systems, along with data warehousing and data mining. Commonly used models include: Statistical models.

Data mining

CIO Business Intelligence

OCTOBER 4, 2023

This volatility can make it hard for IT workers to decide where to focus their career development efforts, but there are at least some areas of stability in the market: despite all other changes in pay premiums, workers with AI skills and security certifications continued to reap rich rewards.

Prescriptive Analytics

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics.

Data Science

FineReport

MARCH 2, 2021

At first glance, reports and analytics may look similar – lots of charts, graphs, trend lines, tables, statistics derived from data. Reports VS Analytics. Definitions : Reporting vs Analytics. By contrast, analytics follows a pull approach , where analysts pull out the data they need to answer specific business questions.

Reporting

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Descriptive Statistics. Trends and Patterns. Forecasting. Classification. Hypothesis Testing.

Predictive Analytics

Birst BI

OCTOBER 30, 2018

This data retrieval and summarization capability gave rise to what we now know as the business intelligence industry. Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior.

Predictive Analytics

Sisense

SEPTEMBER 12, 2019

And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. Every business needs a business intelligence strategy to take it forward. . At this stage, you will need to plan your business goal. And it can do the same for you.

Strategy

Jedox

JULY 31, 2018

We also took a first look at how fp&a and business intelligence professionals can start to derive tangible value from these technologies for Enterprise Performance Management. Analytic Evolution in Enterprise Performance Management. Analytic Evolution in Enterprise Performance Management. Jedox GPU Accelerator.

Technology

Smarten

SEPTEMBER 9, 2024

‘To fulfill the role of a Citizen Data Scientist, business users today can leverage augmented analytics solutions; that is analytics that provide simple recommendations and suggestions to help users easily choose visualization and predictive analytics techniques from within the analytical tool without the need for expert analytical skills.’

Prescriptive Analytics

Smarten

APRIL 11, 2018

Gartner defines a Citizen Data Scientist as ‘a person who creates or generates models that leverage predictive or prescriptive analytics but whose primary job function is outside of the field of statistics and analytics.’ Citizen Analysts represent a new breed of business user.

Analytics

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.

Statistics

Sisense

JULY 22, 2020

She recently spoke with SearchBusinessAnalytics about her vision for the Sisense platform and what it’s like being one of the few women helping shape software development at a major business intelligence and analytics vendor. AK: The first trend is we’re finally starting to see people migrate their data to the cloud.

Prescriptive Analytics

Smarten

SEPTEMBER 9, 2024

Gartner defines a citizen data scientist as, ‘ a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.’ What is a Cititzen Data Scientist? Who is a Citizen Data Scientist?

Consulting

Jet Global

MAY 1, 2023

We hope this guide will transform how you build value for your products with embedded analytics. Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded analytics has proven to be a must-have for staying in compliance.

Analytics

Smarten

MARCH 20, 2025

In 2016, the technology research firm, Gartner, coined the term Citizen Data Scientist, and defined it as a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.

Prescriptive Analytics