IBM Big Data Hub

JULY 27, 2022

Specifically, AIOps uses big data, analytics, and machine learning capabilities to do the following: Collect and aggregate the huge and ever-increasing volumes of operations data generated by multiple IT infrastructure components, applications and performance-monitoring tools. Predictive analytics to show what will happen next.

Prescriptive Analytics 93

Prescriptive Analytics Descriptive Analytics Data-driven Cost-Benefit 93

Cloudera

SEPTEMBER 22, 2022

To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. The next step leads to performing exploratory, descriptive analytics, “why is this happening,” and so on. It’s not easy, but it can be done in pragmatic steps to yield results.

Analytics 99

Analytics Insurance IoT Risk 99

datapine

JANUARY 31, 2022

Business intelligence can also be referred to as “descriptive analytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was. Business intelligence and analytics allow users to know their businesses on a deeper level. The responsibility to take action still lies in the hands of the executives.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

OCTOBER 10, 2022

This enabled the company to generate simulations, planning, and reporting solutions based on SAP Analytics Cloud. Shifting descriptive analytics to predictive analytics is a huge undertaking for most companies in their digital transformation. Achieve 10x faster-planning cycles despite having larger data volumes .

Enterprise 52

Enterprise Forecasting Descriptive Analytics Digital Transformation 52

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. There have been so many articles published about AI and its applications, you can find millions of articles from broad concepts to deep technical literature on the internet. Fast shifting trends in consumer behavior. Applications of AI.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

BizAcuity

AUGUST 26, 2019

It has not only tripled in size in recent years but sources predict that it is about to rise to new heights in the coming years. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. Benefits of prescriptive analytics. Image source: [link].

Prescriptive Analytics 74

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 74

Smart Data Collective

MARCH 11, 2022

Therefore, you need sophisticated customer analytics to analyze complex customer behavior. This article will go over the concept of customer service analytics and some of the uses and advantages it could provide to a business. Below are the different types of customer service analytics and why they matter to your business.

Customer Analytics 116

Customer Analytics Analytics Key Performance Indicator Big Data 116

Sisense

JUNE 30, 2020

When BI and analytics users want to see analytics results, and learn from them quickly, they rely on data visualizations. Visua l analytics does the “heavy lifting” with data, by using a variety of processes — mechanical, algorithms, machine learning , natural language processing, etc — to identify and reveal patterns and trends.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Decision Management Solutions

AUGUST 18, 2020

Stop separating your operational systems from your analytic systems. Treating analytic systems as something distinct from operational systems reduces the value you get from your data and prevents effective data-driven decision-making at the front line. Identify the predictions that would change and improve your decision-making.

Machine Learning 88

Machine Learning Data-driven Descriptive Analytics Predictive Analytics 88

Cloudera

MARCH 2, 2018

Gain improved intelligence on operating context and needs through expanded use of descriptive analytics techniques. Identify those most at risk or most affected by a problem more accurately by using predictive analytics. The model has been shown to be effective in preventing the screening-out of at-risk children.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

BizAcuity

AUGUST 26, 2019

It has not only tripled in size in recent years but sources predict that it is about to rise to new heights in the coming years. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. Benefits of prescriptive analytics. Image source: [link].

Prescriptive Analytics 40

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 40

Business Over Broadway

MARCH 13, 2019

IBM Watson Studio is an end-to-end analytics solution to help you gain insights from your data. Before diving into IBM Watson Studio , it’s important to give some background on both the survey data and the analytics behind driver analysis. Next, we can explore our data by calculating some descriptive statistics for our measures.

Statistics 78

Statistics Measurement Descriptive Analytics Machine Learning 78

FineReport

MARCH 24, 2024

Data Analyst Job Description Data analysts play a crucial role in extracting actionable insights from diverse data sources, aiding businesses in cost reduction and revenue growth. These professionals collaborate with IT teams, management, or data scientists to align analytical efforts with organizational objectives across various industries.

Statistics 52

Statistics Data mining Visualization Reporting 52

FineReport

APRIL 26, 2023

The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. .”

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Sisense

SEPTEMBER 12, 2019

And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. Our go-to approach for analytics that feeds well into a BI strategy is the Evolution of Analytics chart (below). With that being said, it’s not enough to just have a tool.

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Domino Data Lab

JUNE 2, 2019

Leadership. First item on our checklist: did Rev 2 address how to lead data teams? In many, many ways. To quote Brian Landauer from Duo Security: “Enjoyed #dominorev so much that it left me wanting a Slack for data science leaders. If you lead a data science team/org, DM me and I’ll send you an invite to data-head.slack.com ”. Nick Elprin.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Jet Global

MAY 1, 2023

The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company. We hope this guide will transform how you build value for your products with embedded analytics. that gathers data from many sources.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52