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

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? Go Big, go data.

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

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

Rocket-Powered Data Science

JULY 14, 2023

I recently saw an informal online survey that asked users what types of data (tabular; text; images; or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

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

Smarten

NOVEMBER 26, 2023

TechTarget defines business intelligence this way: ‘Business intelligence (BI) is a technology-driven process for analyzing data and delivering actionable information that helps executives, managers and workers make informed business decisions.’

Marketing 40

Marketing Business Intelligence Key Performance Indicator Prescriptive Analytics 40

Sisense

JUNE 30, 2020

Data is usually visualized in a pictorial or graphical form such as charts, graphs, lists, maps, and comprehensive dashboards that combine these multiple formats. Broadly, there are three types of analytics: descriptive , prescriptive , and predictive.

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 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

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. The visualizations and dashboards are truly native MongoDB results and can be shared and embedded quickly.

Reporting 98

Reporting Prescriptive Analytics Visualization Data Warehouse 98

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! That’s where prescriptive analytics and assisted intelligence truly start changing how HR professionals do their jobs.

People Analytics 74

People Analytics Analytics Cost-Benefit Key Performance Indicator 74

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 4) Predictive And Prescriptive Analytics Tools.

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? Cognitive Computing.

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

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. Stewardship dashboards.

Metadata 64

Metadata Data Governance Dashboards Software 64

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