Business Over Broadway

MARCH 13, 2019

IBM Watson Studio , an end-to-end analytics solution to help you gain insights from your data, was designed for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. In this step we need to first import the data asset to the Modeler Flow.

Statistics 78

Statistics Measurement Descriptive Analytics Machine Learning 78

Cloudera

MARCH 2, 2018

Banking, transportation, healthcare, retail, and real estate, all have seen the emergence of new business models fundamentally changing how customers use their services. Gain improved intelligence on operating context and needs through expanded use of descriptive analytics techniques.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

FineReport

APRIL 26, 2023

For example, a computer manufacturing company could develop new models or add features to products that are in high demand. 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.”

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

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. Well, what if you do care about the difference between business intelligence and data analytics?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

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

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

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

Decision Management Solutions

AUGUST 18, 2020

The paper has some great discussion of this critical point to which I would add a couple of observations from our work with clients around the world: Use decision models to understand your decisioning problem and find the right technologies to automate it. Build a decision model using the Decision Model and Notation standard first.

Machine Learning 88

Machine Learning Data-driven Descriptive Analytics Predictive Analytics 88

Domino Data Lab

JANUARY 21, 2021

Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. Results become the basis for understanding the solution space (or, ‘the realm of the possible’) for a given modeling task. The reward is clear — properly analyzed datasets result in better models, faster.

Statistics 106

Statistics Unstructured Data Data Science Predictive Modeling 106

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

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

Grooper

AUGUST 19, 2019

First, I have to understand the business model to actually see. It’s complex – you build a model, predict outcomes, now you have to convince business leaders to trust and believe in your model. We should use laymen terms to explain model and build trust in it. that’s what 80% of my time goes into. Not really, actually.

Machine Learning 40

Machine Learning Metrics Descriptive Analytics Testing 40

Rocket-Powered Data Science

OCTOBER 6, 2023

In these applications, the data science involvement includes both the “learning” of the most significant patterns to alert on and the improvement of their models (logic) to minimize false positives and false negatives. Broken models are definitely disruptive to analytics applications and business operations.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

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

Sisense

JULY 23, 2021

While data and analytics are nothing new to the Olympics — they’ve been used in some form or another for many, many years — what is new is the importance of using data to manage the evolving changing models for delivery of the Games,” Chris says. >>>Infused Using data to create a more modern Olympics. “We’ve

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

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