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

Alation

NOVEMBER 28, 2022

Spreadsheets dominate the activities of gathering and preparing data, and performing descriptive analytics. The risk of using untrusted data in spreadsheets is significant when you consider how many serious decisions are based upon them. With the release of 2022.4, Not knowing what data they have access to.

Descriptive Analytics 52

Descriptive Analytics Risk Sales Data-driven 52

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

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. 85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. Source: PwC).

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

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 Descriptive Analytics Predictive Analytics 88

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

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

Domino Data Lab

JANUARY 21, 2021

There is a risk of injecting bias. It’s worth noting that there is a landscape of proprietary tools dedicated to producing descriptive analytics in the name of business intelligence. Cancellation code is probably a good indicator of a flight delay, but if it’s only present for 2-3% of the data, is it useful? ref: [link].

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

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

Domino Data Lab

JUNE 2, 2019

Trying to dissect a model to divine an interpretation of its results is a good way to throw away much of the crucial information – especially about non-automated inputs and decisions going into our workflows – that will be required to mitigate existential risk. Leadership. First item on our checklist: did Rev 2 address how to lead data teams?

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