Smart Data Collective

MARCH 29, 2021

If your brand is trying to navigate today’s crowded and confusing analytics environment, one of the best things you can do is actively seek to reduce the amount of information you’re trying to wrangle. Many businesses restrict themselves to descriptive analytics, or what’s described above as knowing what your customers have already done.

Marketing 138

Marketing Metrics Descriptive Analytics Predictive Analytics 138

Birst BI

OCTOBER 30, 2018

Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior. The vast majority of financial services companies use the data within their applications for what is called “ Descriptive Analytics.”

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Smart Data Collective

DECEMBER 19, 2021

Built-in Data Analytics Tools: Python has some built-in data analysis tools that make the job easier for you. That’s because the machine learning projects go through and process a lot of data, and that data should come in the specified format to make it easier for the AI to catch and process. Data Preprocessing is a Requirement.

Optimization 141

Optimization Machine Learning Data mining Statistics 141

CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

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

APRIL 9, 2025

For example, an analytics dashboard that correlates shipping data gaps in a logistics view could be correlated to quantities released for distribution in a warehouse. For example, an analytics dashboard that correlates shipping data gaps in a logistics view could be correlated to quantities released for distribution in a warehouse.

Enterprise 52

Enterprise Analytics Experimentation Statistics 52

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

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 130

Customer Analytics Analytics Key Performance Indicator Big Data 130

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 102

Analytics Insurance IoT Risk 102

BizAcuity

AUGUST 26, 2019

The need for prescriptive analytics. 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. The casino business is one that is booming quickly. Image source: [link].

Prescriptive Analytics 74

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 74

TreehouseTechGroup

AUGUST 11, 2020

Most organizations start their analytics journey by asking ‘what has happened’. The business analytics technique that answers this question is called descriptive analytics as it provides a… The post Top 4 Business Analytics Techniques Companies Need to Adopt appeared first on Treehouse Tech Group.

Business Analytics 52

Business Analytics Descriptive Analytics Analytics IT 52

TreehouseTechGroup

AUGUST 11, 2020

Most organizations start their analytics journey by asking ‘what has happened’. The business analytics technique that answers this question is called descriptive analytics as it provides a. The post Top 4 Business Analytics Techniques Companies Need to Adopt appeared first on Treehouse Tech Group.

Business Analytics 52

Business Analytics Descriptive Analytics Analytics IT 52

Sisense

JULY 23, 2021

Descriptive analytics also help them understand the number of athletes and workers required to support that specific competition or sport. This analytics engine will process both structured and unstructured data. “We This accumulated knowledge has immense value both for the Olympic movement and for future organizers.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

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. Digital Decisions Are Fast And Frequent Automated Decisions. Just don’t.

Machine Learning 88

Machine Learning Data-driven Predictive Analytics Descriptive Analytics 88

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

Domino Data Lab

JANUARY 21, 2021

It’s worth noting that there is a landscape of proprietary tools dedicated to producing descriptive analytics in the name of business intelligence. Both of these considerations affect the overall return of a data science project, by speeding up the time it takes to “get to value”, or reducing costs associated with training.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

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

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 Data Warehouse 52

Cloudera

MARCH 2, 2018

Gain improved intelligence on operating context and needs through expanded use of descriptive analytics techniques. In a next step, the broader adoption of data analysis techniques and tools has the potential to help nonprofits increase their programmatic impact as well as identify completely new ways of achieving their mission.

Data-driven 43

Data-driven Prescriptive Analytics Machine Learning Descriptive Analytics 43

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 Science 110

Data Science Data-driven Machine Learning Modeling 110

BizAcuity

AUGUST 26, 2019

The need for prescriptive analytics. 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. The casino business is one that is booming quickly. Image source: [link].

Prescriptive Analytics 40

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 40

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

Smarten

NOVEMBER 26, 2023

Find out how business intelligence and analytics technology can support your enterprise and engage the experts to help you choose an approach.’ This approach typically focuses on descriptive analytics based on historical data to answer the question “What happened?” or What is happening?

Marketing 40

Marketing Business Intelligence Key Performance Indicator Prescriptive Analytics 40

Alation

NOVEMBER 28, 2022

Spreadsheets dominate the activities of gathering and preparing data, and performing descriptive analytics. With the release of 2022.4, Alation is excited to unveil Alation Connected Sheets , a new product that brings trusted, fresh data directly to spreadsheet users. Not knowing what data they have access to.

Descriptive Analytics 52

Descriptive Analytics Sales Risk Data-driven 52

Grooper

AUGUST 19, 2019

Getting all the data from disparate sources and making one view of all those data sources, perform cleaning, transformation, reduction etc. that’s what 80% of my time goes into. Before working as a data scientist, did you expect to spend that much time in “data munching” as you call it? Absolutely, that’s an expected part of the job.

Machine Learning 40

Machine Learning Metrics Descriptive Analytics Testing 40

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

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

CIO Business Intelligence

MARCH 27, 2024

Nella Pubblica amministrazione c’è un ulteriore parametro che entra nella data governance: la maturità sugli open data. Colasuonno conferma che la strategia sui dati “è strettamente connessa e funzionale alla strategia digitale”: deve servire a obiettivi che vanno oltre le implementazioni IT. GPT: più efficienza per la data governance?

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

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