Decision Management Solutions

JUNE 4, 2021

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI).

Analytics Technologies 52

Analytics Technologies Technology Modeling Key Performance Indicator 52

Decision Management Solutions

MAY 10, 2019

So, is your AI project about how you interact with customers (business outcome #1) or about improving business decisions (outcome #2)? In the second bucket are machine learning and AI algorithms used to predict risk, identify fraud, target waste, predict lifetime value or determine propensities to buy.

Machine Learning 75

Machine Learning Data mining Predictive Analytics Interactive 75

Smart Data Collective

MAY 11, 2023

Earlier this year, we talked about some of the major changes that data has brought to the financial sector. Bhagyeshwari Chauhan of DataHut writes that one of the major ways that big data helps is with identifying fraud. Predictive analytics and other big data tools help distinguish between legitimate and fraudulent transactions.

Data mining 99

Data mining Big Data Sales Cost-Benefit 99

Smarten

JANUARY 31, 2019

Put simply, business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response and discover what is changing in customer buying behavior and in sales.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Jen Stirrup

OCTOBER 30, 2022

What distinguishes Data Mining from other methods of exploring data, and what is its usefulness? Critics might say that if you torture the data enough, it will eventually confess! Computers contain lots of data, but people need help to turn this data into intelligence.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

FineReport

APRIL 26, 2023

Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Here are the key features of RapidMiner: Offers a variety of data management approaches. Offers interactive and shared dashboards.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Sisense

SEPTEMBER 12, 2019

A business intelligence strategy is a blueprint that enables businesses to measure their performance, find competitive advantages, and use data mining and statistics to steer the business towards success. . Every company has been generating data for a while now. This is where the term citizen data scientist comes into play.

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Rita Sallam

JULY 22, 2016

It is defined by a self-contained architecture that enables nontechnical users to autonomously execute full-spectrum analytic workflows from data access, ingestion and preparation to interactive analysis, and the collaborative sharing of insights. Sisense supports a wide range of relational, NoSQL and big data sources.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

datapine

MARCH 25, 2022

On the other hand, BA is concerned with more advanced applications such as predictive analytics and statistic modeling. This also allows the two terms to complement each other to provide a complete picture of the data. BI dashboards , offer the possibility to filter the data all in one screen to extract deeper conclusions.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

FineReport

JUNE 24, 2021

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. On the opposite, it is more of a comprehensive application of data warehouse, OLAP, data mining, and so forth. Predictive analytics and modeling.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

IBM Big Data Hub

JULY 24, 2023

It aims to understand what’s happening within a system by studying external data. ITOA uses data mining and big data principles to analyze noisy data sets within the system and creates a framework that uses those meaningful insights to make the entire system run smoother.

IT 59

IT Analytics Cost-Benefit Predictive Analytics 59

FineReport

JULY 18, 2022

Key features: It supports connecting to almost all mainstream data sources so that you can analyze data from different sources in just one single report or dashboard. It is also professional in data visualization with multiple pre-defined dashboards templates and various types of charts, such as dynamic charts and maps.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

Cloudera

NOVEMBER 30, 2017

Increasingly, organizations can implement visualization tools supported by broadly accepted, open source–based data management technologies to enable not just trained analysts and data scientists but business users to interact directly with big data.

Strategy 40

Strategy Big Data Data mining Visualization 40

Smart Data Collective

OCTOBER 25, 2023

Well, it is – to the ones that are 100% familiar with it – and it involves the use of various data sources, including internal data from company databases, as well as external data, to generate insights, identify trends, and support strategic planning. For a beginner, it’s a lot in one place.

Key Performance Indicator 96

Key Performance Indicator Business Intelligence Data-driven Metrics 96

datapine

NOVEMBER 27, 2019

Data exploded and became big. 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.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. All of the above points to embedded analytics being not just the trendy route but the essential one. Users Want to Help Themselves Data mining is no longer confined to the research department. Standalone is a thing of the past.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52