Smarten

JANUARY 3, 2020

Assisted Predictive Modeling Delivers Predictive Analytics to Business Users! When we use terms like ‘predictive analytics’, it sometimes puts off the general business population. While predictive analytics techniques and predictive modeling does include complicated algorithms.

Predictive Modeling 52

Predictive Modeling Modeling Predictive Analytics Forecasting 52

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. The applications of predictive analytics are extensive and often require four key components to maintain effectiveness. Data Sourcing.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What are the benefits of business analytics? What is the difference between business analytics and data analytics?

Business Analytics 119

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 119

Smarten

APRIL 10, 2023

Leverage Enterprise Investments for Predictive Analytics and Gain Numerous Advantages! Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Why the focus on predictive analytics?

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

CIO Business Intelligence

JANUARY 19, 2024

Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year.

Data Science 124

Data Science Machine Learning Predictive Modeling Experimentation 124

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

MAY 17, 2019

These are just some of the examples of use cases that effectively illustrate how your business can benefit from predictive analytics in real-world scenarios. These are just some of the examples of use cases that effectively illustrate how your business can benefit from predictive analytics in real-world scenarios.

Predictive Analytics 65

Predictive Analytics Forecasting Analytics Predictive Modeling 65

Smarten

MARCH 13, 2018

Need Analytics for Business Users AND Data Scientists? Does your business intelligence solution provide true advanced analytics capabilities? Can your BI tool satisfy the needs of business users, data scientists and IT staff? You can transform those business users into Citizen Data Scientists! No Problem!

Predictive Modeling 40

Predictive Modeling Modeling Analytics Predictive Analytics 40

Smarten

MARCH 31, 2019

Predictive Analytics Techniques That Are Easy Enough for Business Users! There are a myriad of predictive analytics techniques and predictive modeling algorithms and you can’t expect your business users to understand and use them.

Predictive Modeling 40

Predictive Modeling Modeling Predictive Analytics Forecasting 40

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

datapine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? We already saw earlier this year the benefits of Business Intelligence and Business Analytics. What Is Business Intelligence And Analytics?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smarten

NOVEMBER 14, 2017

Predictive Analytics for the Faint of Heart! Assisted Predictive Modeling , Predictive Analytics. They don’t want to have to try to unravel the complicated world of data analytics and be forced to choose forecasting techniques or predictive models. Leave it to the Software!

Predictive Analytics 64

Predictive Analytics Analytics Predictive Modeling Forecasting 64

CIO Business Intelligence

DECEMBER 11, 2023

For example, by tapping into real-time data with AI-enabled analytics, CFOs will be able to develop multiple scenarios for capital allocation, offering more forward-looking projections and more accurate forecasts. Learn more about how EXL can put generative AI to work for your business here.

Finance 85

Finance Forecasting IoT Predictive Modeling 85

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Prescriptive Analytics: What should we do?

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Smarten

JUNE 8, 2023

Today’s business intelligence solutions provide mobile support for business users in an easy-to-use, self-serve environment, so every team member can participate in data analytics and use that data to perform their role and to make confident decisions. Today’s work environs are increasingly flexible.

Optimization 67

Optimization Enterprise Business Intelligence Predictive Modeling 67

Smarten

MAY 30, 2023

When a business plans to launch an augmented analytics or business intelligence solution, it must carefully plan for user adoption – especially if the launch of this solution is part of a larger strategy for self-serve business user analytics and the Citizen Data Scientist approach to data use across the enterprise.

Slice and Dice 52

Slice and Dice Business Intelligence Cost-Benefit Dashboards 52

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Smarten

NOVEMBER 22, 2019

Data Literacy means that your team members have the ability to read, work with and understand, analyze, present and make decisions using data. Becoming Data Literate – To be data literate, your team members do not need to be data scientists or business analysts.

Predictive Modeling 67

Predictive Modeling Data-driven Forecasting Visualization 67

IBM Big Data Hub

MAY 17, 2024

AI models analyze vast amounts of data quickly and accurately. They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions.  The applications of AI in commerce are vast and varied.

B2B 66

B2B Interactive Optimization Forecasting 66

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. appeared first on IBM Blog.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

Cloudera

JANUARY 25, 2022

As roles within organizations evolve (as seen by the growth of citizen scientists and analytics engineers) and as data needs change (think schema changes and real-time), we need more intelligent ways to perform visual exploration, data interrogation, and share insights. Jump start your journey with AMPs.

Visualization 89

Visualization Machine Learning Predictive Analytics Data-driven 89

IBM Big Data Hub

FEBRUARY 14, 2024

Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. See what’s ahead AI can assist with forecasting. For example, a supply-chain function can use algorithms to predict future needs and the time products need to be shipped for timely arrival.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

FineReport

APRIL 9, 2024

The pivotal role of healthcare BI tools lies in advancing clinical business intelligence, enabling healthcare providers to harness the power of data for informed decision-making and enhanced patient care. By integrating advanced analytics solutions, healthcare organizations can elevate their capacity for data-driven decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52