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 144

Data mining Data-driven Statistics OLAP 144

CIO Business Intelligence

FEBRUARY 16, 2023

Now, the team’s information architects, in conjunction with business analysts, are working on the semantic layer, which feeds data from data warehouses and data lakes into data marts, including a finance mart, sales mart, supply chain mart, and market mart. Analytics, Artificial Intelligence, Data Management, Predictive Analytics

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

IBM Big Data Hub

JULY 27, 2022

The applications continuously send telemetry information into the operational management tooling (box 4: Continuous Operations). The AIOps engine is focused on addressing four key things: Descriptive analytics to show what happened in an environment. Predictive analytics to show what will happen next.

Prescriptive Analytics 93

Prescriptive Analytics Descriptive Analytics Data-driven Cost-Benefit 93

Rocket-Powered Data Science

MARCH 10, 2020

Chapter 2 steps up our graph immersion by introducing us to the many different types of graphs that represent the rich variety of informative relationships that can exist between nodes, including directed and undirected, cyclic and acyclic, trees, and more. By the way, I always love a discussion that mentions the Pareto distribution.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

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. Advanced analytics responds to next-generation requirements. This is known as prescriptive analytics.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

Cloudera

MARCH 2, 2018

In many settings this is the best information available. However, it presents obvious drawbacks: given the expense and time required to conduct surveys we frequently operate based on information that is years old. Identify those most at risk or most affected by a problem more accurately by using predictive analytics.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

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

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. Confused yet?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

IBM Big Data Hub

JULY 6, 2023

Machine learning can then “learn” from the data to create insights that improve performance or inform predictions. One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Sisense

SEPTEMBER 12, 2019

With a goal of getting to the end of the chart with predictive and prescriptive analytics, you can ask questions like: Are we going to hit our targets by the end of the year? In order to analyze revenue growth, you will first need all of the sales information related to revenue. Do you want to be more efficient?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

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: Predictive analytics is the most talked about topic of the decade in the field of data science. AI for Business.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

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

Sisense

JUNE 30, 2020

The simplest type, descriptive analytics , describes something that has already happened and suggests its root causes. Predictive analytics is the most beneficial, but arguably the most complex type. Predictive analytics is the most beneficial, but arguably the most complex type.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

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 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Alation

MARCH 21, 2023

Organizations in the travel and tourism vertical use big data and analytics to find patterns in structured and unstructured data that allow them to make informed business decisions. Why is data analytics important for travel organizations? They may also suffer from data duplication, which undermines their analytics models.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

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

Sisense

OCTOBER 27, 2020

Given that the average enterprise company now has 15-19 HR systems feeding it information and 85% of leaders say that people analytics are very important to the future of HR, this clearly has to change! Strategic analytics. Predictive analytics are the next step in your HR analytics journey.

People Analytics 74

People Analytics Analytics Cost-Benefit Key Performance Indicator 74

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Smart Data Collective

OCTOBER 13, 2021

In the era of Big Data, the Web, the Cloud and the huge explosion in data volume and diversity, companies cannot afford to store and replicate all the information they need for their business. Data virtualization is ideal in any situation where the is necessary: Information coming from diverse data sources. Real-time information.

Visualization 136

Visualization Cost-Benefit Big Data Prescriptive Analytics 136

datapine

NOVEMBER 27, 2019

It is not only important to gather as much information possible, but the quality and the context in which data is being used and interpreted serves as the main focus for the future of business intelligence. However, businesses today want to go further and predictive analytics is another trend to be closely monitored.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Prescriptive Analytics: What should we do?

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

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

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

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.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52