CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. These systems include file drawer and management reporting systems, executive information systems, and geographic information systems (GIS).

Data mining 135

Data mining Data-driven Statistics OLAP 135

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. This database will accept a lot of write queries back from the activation systems that learn new information about the customers and feed them back.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Smarten

NOVEMBER 26, 2023

You may be interested to know that TechJury reports seven out of ten businesses rate data discovery as very important, and that the top three business intelligence trends are data visualization, data quality management and self-service business intelligence. or What is happening? And that is exactly what is happening!

Marketing 40

Marketing Business Intelligence Key Performance Indicator Prescriptive Analytics 40

FineReport

JULY 28, 2021

Good data can give you keen insights, convincing evidence to make informed decisions. Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Smart Data Collective

NOVEMBER 24, 2020

Prescriptive Analytics. Using the information in making business predictions is not a new trend. It will be used to simplify access to information and boost operations. Access to Essential Information. Unique feature: custom visualizations to fit your business needs better. Increase in ROI.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

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. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

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.’ Analyze the Model with Visualization and Interpretation. Select an Algorithm Technique. Select the Dataset or Cube.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

FineReport

MARCH 2, 2021

Reports provide clear and organized data information; Analytics aims to provide insights. When people talk about a report, you will often see words like organizing, formatting, building, configuring, consolidating summarize; Regarding analytics, appears as questioning, examining, interpreting, comparing, and confirming.

Reporting 98

Reporting Analytics Key Performance Indicator Prescriptive Analytics 98

FineReport

FEBRUARY 23, 2020

Database reporting tools provide ways for all types of users across the company to have easy access to informative and intuitive reports that combine data from multiple sources throughout the organization. You can also design Oracle databases visually, build queries in a few clicks, create and edit database objects with it. FineReport.

Reporting 98

Reporting Prescriptive Analytics Visualization Data Warehouse 98

BizAcuity

MARCH 31, 2022

This article (like thousands of other articles), is aimed at presenting consolidated information about AI for business in simple language. Predictive analytics, with the help of machine learning, keeps getting more accurate with the continuous inflow of data. AI for Business. Worth a read if you are brainstorming on AI strategy.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

IBM Big Data Hub

JULY 6, 2023

Machine learning can then “learn” from the data to create insights that improve performance or inform predictions. as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. It requires data science tools to first clean, prepare and analyze unstructured big data.

Machine Learning 56

Machine Learning Data Science Statistics Deep Learning 56

FineReport

APRIL 26, 2023

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. The term “Big” does not only refer to its size, but also to its capacity to acquire, organize, and process information beyond the capabilities of traditional databases.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Sisense

AUGUST 11, 2019

And, again, the ultimate goals are to better understand how the business is doing, make better-informed decisions that improve performance, and create new strategic opportunities for growth. So, BI deals with historical data leading right up to the present, and what you do with that information is up to you.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Sisense

SEPTEMBER 12, 2019

Most companies find themselves in the bottom left corner, in the Descriptive Analytics and Diagnostic Analytics sections. You likely already have some form of scheduled reports, are drilling down into your data, discovering what is in your data, and may even be visualizing to some extent. Do you want to be more efficient?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Jet Global

MAY 1, 2023

Aggregated views of information may come from a department, function, or entire organization. The data may come from multiple systems or aggregated views, but the output is a centralized overview of information. Embedded analytics are the GPS navigation inside your car that guides your path in real-time. It’s all about context.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Birst BI

OCTOBER 30, 2018

This credit scoring example illustrates that while the historical activities of a credit applicant are of some interest, the real value of the historical information comes from combining the data with algorithms to produce predictive analytics. Create the reports & dashboards needed to visualize the predictions.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Alation

AUGUST 26, 2021

Insights into how an asset’s been used in the past inform how it might be intelligently applied in the future. Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more. Why keep data at all?

Metadata 64

Metadata Data Governance Dashboards Software 64

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Andrew White

JANUARY 11, 2021

In general, I would offer that information-based industries tend to be more advanced than non-information-based industries. As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Do you play SimCity? Imagine running our businesses like that?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52