FineReport

MARCH 2, 2021

Reports VS Analytics. Definitions : Reporting vs Analytics. Reporting refers to the process of taking factual data and presents it in an organized form. If you are still confused with drill-down reports or drill-through reports, you can refer to Drill Down Reports Vs Drill Through Reports. So what is the difference?

Reporting 98

Reporting Analytics Key Performance Indicator Prescriptive Analytics 98

IBM Big Data Hub

JULY 27, 2022

Refer to the lower part of the diagram below (box 3: Environment), which represents the environments where the workloads run. The AIOps engine is focused on addressing four key things: Descriptive analytics to show what happened in an environment. Predictive analytics to show what will happen next.

Prescriptive Analytics 93

Prescriptive Analytics Descriptive Analytics Data-driven Cost-Benefit 93

AWS Big Data

FEBRUARY 20, 2024

You can read from all the ingested data files at a specified Amazon S3 location with different schemas through a single Amazon Redshift Spectrum table by referring to the AWS Glue metadata catalog. The crawler creates a hybrid schema that works with both old and new datasets.

Analytics 119

Analytics IoT Prescriptive Analytics Internet of Things 119

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. Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

AWS Big Data

MARCH 26, 2024

It is prudent to consolidate this data into a single customer view, serving as a primary reference for downstream applications, ranging from ecommerce platforms to CRM systems. Plan on how you can enable your teams to use ML to move from descriptive to prescriptive analytics.

Data Strategy 100

Data Strategy Strategy Data Warehouse Prescriptive Analytics 100

BizAcuity

MARCH 31, 2022

Enterprise Artificial intelligence (AI) is a common jargon used to refer to how an organization integrates artificial intelligence (AI) into its infrastructure to drive digital transformation. Artificial Intelligence Analytics. Prescriptive Analytics: Prescriptive analytics is the most complex form of analytics.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

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. Business Analytics is One Part of Business Intelligence.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Domino Data Lab

JUNE 2, 2019

And by “scale” I’m referring to what is arguably the largest, most successful data analytics operation in the cloud of any public firm that isn’t a cloud provider. She had much to say to leaders of data science teams, coming from perspectives of data engineering at scale.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

FineReport

APRIL 26, 2023

This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. The term “Big” does not only refer to its size, but also to its capacity to acquire, organize, and process information beyond the capabilities of traditional databases.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

IBM Big Data Hub

JULY 6, 2023

Accountability in machine learning refers to how much a person can see and correct the algorithm and who is responsible if there are problems with the outcome. .” One solution to that may be releasing machine learning programs as open-source, so that people can check source code.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

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

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. It is meant to be a desk-reference for that role for 2021. Yes, prescriptive and predictive analytics remain very popular with clients. Education is one way.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

References Ask to speak to existing customers in similar verticals. Talk to References Now it’s time to find out if your vendor can actually make customers like you successful. Ask your vendors for references. Look for references that are similar (in terms of size, industry, use case, etc.) It’s all about context.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52