CIO Business Intelligence

NOVEMBER 14, 2022

They generally leverage simple statistical and analytical tools, but Power notes that some OLAP systems that allow complex analysis of data may be classified as hybrid DSS systems. DSS software system. The software system is built on a model (including decision context and user criteria). DSS database. TIBCO Spotfire.

Data mining 135

Data mining Data-driven Statistics OLAP 135

Smarten

MAY 29, 2023

World-renowned technology analysis firm Gartner defines the role this way, ‘A citizen data scientist is 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. ‘If

Prescriptive Analytics 52

Prescriptive Analytics Predictive Modeling Digital Transformation Business Objectives 52

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 52

Statistics Data mining Visualization Reporting 52

FineReport

JULY 28, 2021

It can be defined as a combination of statistics, math, and computer science techniques employed to discover the patterns behind data and thus help the decision-making process. Data science generally refers to all the knowledge, techniques, and methods used for data analysis, while data analytics is the manner of analyzing massive data.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Smart Data Collective

NOVEMBER 24, 2020

Business intelligence software will be more geared towards working with Big Data. The current BI trends show that in the future, the BI software will be more accessible, so that even non-techie workers will rely on data insights in their working routine. Prescriptive Analytics. Data Governance. Identify Opportunities.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

Machine Learning 56

Machine Learning Data Science Statistics Deep Learning 56

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. Advanced reporting software (i.e., Predictive analytics (answer what will happen in the future?)

Reporting 98

Reporting Analytics Key Performance Indicator Prescriptive Analytics 98

Jedox

JULY 31, 2018

Now, we will take a deeper look into AI, Machine learning and other trending technologies and the evolution of data analytics from descriptive to prescriptive. Analytic Evolution in Enterprise Performance Management. Predictive analytics is one aspect of advanced analytics that will be key in driving efficiency and innovation.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

Sisense

AUGUST 11, 2019

Typically, this involves using statistical analysis and predictive modeling to establish trends, figuring out why things are happening, and making an educated guess about how things will pan out in the future. When there are overlaps in new software solutions and the functions they provide, it’s harder to say exactly what counts as BI and BA.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Sisense

JULY 22, 2020

She began her career as a software engineering manager at NASA, worked at Oracle, Amazon, and elsewhere before moving to Alteryx, serving as senior vice president of product. There are many more things we can do to make analytics easier for everybody involved and get more people involved in analytics.

Prescriptive Analytics 52

Prescriptive Analytics Dashboards Statistics Data-driven 52

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.’ What is a Citizen Data Scientist (Citizen Analyst)?

Analytics 40

Analytics Prescriptive Analytics Business Intelligence ROI 40

Jet Global

MAY 1, 2023

Commercial vs. Internal Apps Any organization that develops or deploys a software application often has a need to embed analytics inside its application. This includes commercial software and SaaS providers who are serving the analytical needs of their paying customers. Which industries are adopting embedded analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Andrew White

JANUARY 11, 2021

This was for the Chief Data Officer, or head of data and analytics. Gartner also published the same piece of research for other roles, such as Application and Software Engineering. Data and Analytics Governance: Whats Broken, and What We Need To Do To Fix It. It is meant to be a desk-reference for that role for 2021.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52