FineReport

JULY 28, 2021

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. financial dashboard (by FineReport). Insurance Dashboard (by FineReport). Free Download.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

FineReport

MARCH 2, 2021

Next, we will recognize the output of reports and analytics. That is, how is each presented visually? Dashboard Example: Grid Monitoring(by FineReport). A dashboard is a graphical interface that usually provides an overview of key performance indicators (KPIs) concerning a definite goal or business process.

Reporting 98

Reporting Analytics Key Performance Indicator Prescriptive Analytics 98

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

FineReport

FEBRUARY 23, 2020

You can also design Oracle databases visually, build queries in a few clicks, create and edit database objects with it. The performance of FineReport in processing and visualizing the MongoDB dataset is stunning. 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

Smarten

JUNE 2, 2017

From reporting to visualised dashboard to predictive analytics. We know that by designing self-learning programs, we are in a position to provide prescriptive analytics. Some prescriptive analytics based on known parameters were always a part of ERP or BI offering.

Business Intelligence 40

Business Intelligence Visualization Prescriptive Analytics Predictive Analytics 40

AWS Big Data

MARCH 26, 2024

Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels. Plan on how you can enable your teams to use ML to move from descriptive to prescriptive analytics. Users interested in visual exploration can do so using AWS Glue DataBrew.

Data Strategy 92

Data Strategy Strategy Data Warehouse Prescriptive Analytics 92

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

Sisense

AUGUST 11, 2019

BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics. See an example: Explore Dashboard. Need a different insight or query?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Birst BI

OCTOBER 30, 2018

The integration of historical data and predictive analytics is key to operationalizing predictive capabilities in large financial services organizations. Create the reports & dashboards needed to visualize the predictions. Richard specializes in dashboards, predictive, and prescriptive analytics for the modern enterprise.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

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. And that is exactly what is happening!

Marketing 40

Marketing Business Intelligence Key Performance Indicator Prescriptive Analytics 40

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

APRIL 26, 2023

.” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Predictive Analytics assesses the probability of a specific occurrence in the future, such as early warning systems, fraud detection, preventative maintenance applications, and forecasting.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Domino Data Lab

JUNE 2, 2019

Her talk addressed career paths for people in data science going into specialized roles, such as data visualization engineers, algorithm engineers, and so on. If your business is using big data and putting dashboards in front of analysts, you’re missing the point.”. Being model-driven is like using GPS.”. “If

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

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. 2) Data Discovery/Visualization. Data exploded and became big.

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

Alation

AUGUST 26, 2021

A stewardship dashboard, to track assets most ripe for curation and curation progress. An example of a stewardship dashboard for governance progress tracking. Stewardship dashboards. Data intelligence can help data leaders boost engagement, with dashboards that show how folks are using data across an enterprise.

Metadata 64

Metadata Data Governance Dashboards Software 64

Andrew White

JANUARY 11, 2021

As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. Coding skills – SQL, Python or application familiarity – ETL & visualization? Yes, prescriptive and predictive analytics remain very popular with clients. Thanks for the overview Andrew.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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.’ So, let’s get started. What is a Cititzen Data Scientist? Who is a Citizen Data Scientist?

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 52

Jet Global

MAY 1, 2023

Bottom line is that analytics has migrated from a trendy feature to a got-to-have. Plus, there is an expectation that tools be visually appealing to boot. In the past, data visualizations were a powerful way to differentiate a software application. Their dashboards were visually stunning. It’s all about context.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52