CIO Business Intelligence

JANUARY 19, 2024

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. You need experience in machine learning and predictive modeling techniques, including their use with big, distributed, and in-memory data sets.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

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. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 131

Predictive Analytics Analytics Predictive Modeling Data mining 131

Smarten

JANUARY 15, 2019

How Can I Leverage Assisted Predictive Modeling to Benefit My Business? Some people hear the term ‘assisted predictive modeling’ and their eyes cross. Explore Assisted Predictive Modeling and find out how it can benefit your organization. Nothing could be further from the truth.

Predictive Modeling 40

Predictive Modeling Modeling Forecasting Predictive Analytics 40

CIO Business Intelligence

MAY 21, 2024

With the generative AI gold rush in full swing, some IT leaders are finding generative AI’s first-wave darlings — large language models (LLMs) — may not be up to snuff for their more promising use cases. With this model, patients get results almost 80% faster than before. It’s fabulous.”

IT 131

IT Cost-Benefit Experimentation Forecasting 131

Smarten

SEPTEMBER 14, 2018

Just Simple, Assisted Predictive Modeling for Every Business User! You can’t get a business loan, join with a business partner, successfully bid on a project, open a new location, hire the right employees or plan for the future without predictive analytics. No Guesswork!

Predictive Modeling 40

Predictive Modeling Business Analytics Modeling Analytics 40

CIO Business Intelligence

SEPTEMBER 24, 2024

Accelerated adoption of artificial intelligence (AI) is fuelling rapid expansion in both the amount of stored data and the number of processes needed to train and run machine learning models. It takes huge volumes of data and a lot of computing resources to train a high-quality AI model.

Predictive Modeling 115

Predictive Modeling Machine Learning Forecasting Data-driven 115

Smarten

MARCH 23, 2020

Predictive Analytics for Business Users = Assisted Predictive Modeling! These types of decision-making can be particularly dangerous to your business when they are applied to predicting and forecasting. Are you tired of using guesswork and opinions to make business decisions?

Predictive Analytics 52

Predictive Analytics Forecasting Predictive Modeling Analytics 52

Smarten

MARCH 13, 2018

That may seem like a tall order but with the right business intelligence software, you can provide predictive analytics for business users, including assisted predictive modeling that walks users through the analytical process and allows them to achieve the best results without a sophisticated knowledge of data analytical techniques.

Predictive Modeling 40

Predictive Modeling Modeling Analytics Predictive Analytics 40

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

AI is also making it easier for executives and managers to rapidly forecast, plan and analyze to promote deeper situational awareness and facilitate better-informed decision-making. It will do so by substantially reducing the time spent on the purely mechanical aspects of day-to-day tasks. This may sound like FP&A’s mission today.

Forecasting 130

Forecasting Machine Learning Finance Software 130

Smarten

MAY 17, 2019

Whether you need to anticipate and plan for equipment maintenance, target online customers, control customer churn, or identify ways to cross-sell and upsell customers on existing and new products and services, these predictive analytics tools can help you to optimize your marketing budget and your resources and mitigate risk and market missteps.

Predictive Analytics 65

Predictive Analytics Forecasting Analytics Predictive Modeling 65

datapine

AUGUST 14, 2019

The example above shows us a visual of the drag and drop interface created in datapine for a 6 months forecast based on past and current data. Computational mathematics is in the heart of this language, typically used in algorithm development, modeling and simulation, scientific and engineering graphics, data analysis, and exploration.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smarten

JULY 23, 2019

What is Predictive Analytics and How Can it Help My Business? What is predictive analytics? Put simply, predictive analytics is a method used to forecast and predict the future results and needs of an organization using historical data and a comprehensive set of data from across and outside the enterprise.

Modeling 63

Modeling Predictive Analytics Predictive Modeling IT 63

Sisense

FEBRUARY 25, 2021

One of the most important applications of data is using it to forecast the future. This is where forecasting analytics can be a game-changer in the decision-making process. In a recent webinar , I talked about how one of our customers, a performance theater owner, uses predictive analytics. Data-driven forecasting decisions.

Forecasting 52

Forecasting Analytics Predictive Modeling Machine Learning 52

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

DataRobot

NOVEMBER 14, 2019

The high volume of market data makes searching for hidden patterns and developing forward-looking predictive models unruly, cumbersome, and slow using traditional methods and technologies. Competition throughout the financial markets is becoming more intense and top-line growth is becoming more challenging than ever to achieve.

Marketing 14

Marketing Forecasting Predictive Modeling Modeling 14

CIO Business Intelligence

JUNE 14, 2023

The certification focuses on the seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle management. They can also transform the data, create data models, visualize data, and share assets by using Power BI.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

DataRobot

OCTOBER 19, 2021

Many available forecasts provide less than four weeks notice at the state and county level. Additionally, these forecasts often miss surges in community transmission until it is too late to change course. Traditional predictive models do not account for anomaly detection on data reporting issues (e.g.,

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

Smarten

JANUARY 28, 2020

Predictive analytics is more refined, more dependable and more comprehensive than ever. The foundation for predictive analysis is a great predictive analytics tool, and features and function that include assisted predictive modeling.

Predictive Analytics 67

Predictive Analytics Software Predictive Modeling Analytics 67

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. Usage in a business context. The end-user is another factor to consider.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Jedox

APRIL 16, 2020

What does your economic forecast look like for the foreseeable future? Most organizations lack the analytic maturity to be able to turn to their team of data scientists and have them build intelligent prescriptive models that easily light up the road to success. Forecast realistic outcomes. So what’s the alternative?

Uncertainty 95

Uncertainty Management Forecasting Predictive Modeling 95

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

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.

Finance 105

Finance Forecasting IoT Predictive Modeling 105

Smart Data Collective

APRIL 21, 2022

This will as well ensure accuracy in forecasting power generation rates and respective grid adjustments. Effective production forecast. Apart from the reactive response, the IoT for renewable energy includes effective production forecasts and improves grid stability.

IoT 115

IoT Internet of Things Forecasting Predictive Modeling 115

BI-Survey

NOVEMBER 24, 2020

This generates significant challenges for organizations in many areas and corporate planning and forecasting are no exceptions. The aim is to relieve planners and use historical data for valuable forecasts of the future. Planning, forecasting and analytics must be adapted to keep up with these demands.

Forecasting 94

Forecasting Predictive Modeling Statistics Data-driven 94

BI-Survey

MARCH 16, 2021

Corporate planning and forecasting needs to be carried out efficiently, in shorter cycles and must be updated quickly for well-founded decision-making. Increasing dynamics demand adjustments to the corporate management process – as well as strategic planning and forecasting – to meet growing requirements.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

BI-Survey

MARCH 16, 2021

Corporate planning and forecasting needs to be carried out efficiently, in shorter cycles and must be updated quickly for well-founded decision-making. Increasing dynamics demand adjustments to the corporate management process – as well as strategic planning and forecasting – to meet growing requirements.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

Domino Data Lab

AUGUST 22, 2019

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ It is meant to identify crucial relationships and opportunities and risks and help the organization to accurately predict: Growth.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

CIO Business Intelligence

MAY 14, 2024

Enterprises need to ensure that private corporate data does not find itself inside a public AI model,” McCarthy says. You don’t want a mistake to happen and have it end up ingested or part of someone else’s model. The excitement and related fears surrounding AI only reinforces the need for private clouds.

IT 143

IT Data Processing Enterprise Modeling 143

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

DataRobot

OCTOBER 15, 2021

This high cost of investment means that prediction of maximum effectiveness is very important. In oil and gas, predictive modeling with soil sampling, drill temperatures, and vibrations levels can inform drill equipment decisions, maintenance work, and extraction. Conclusion.

Forecasting 93

Forecasting Data-driven Predictive Modeling Modeling 93

Jedox

MAY 17, 2022

What Predictive Analytics Cannot Forecast. Predictive Analytics Example in Finance. A Brief History of Predictive Analytics. No industry has attempted to do more with predictive analytics than the financial services industry. What is Predictive Analytics? What Predictive Analytics Cannot Forecast.

Predictive Analytics 85

Predictive Analytics Finance Analytics Forecasting 85

Smarten

NOVEMBER 26, 2018

With the right predictive analytics tool, your business can hypothesize, test theories, discover the effects of a possible price increase, discover and address changing buying behavior and develop appropriate competitive strategies.

Predictive Analytics 58

Predictive Analytics Predictive Modeling Analytics Forecasting 58

Smarten

AUGUST 5, 2022

Can Predictive Analytics Provide Accurate Results for My Business Without Burdening My Users? If your business is struggling to forecast and predict outcomes and results, your management team is probably considering predictive analytics. Understanding Assisted Predictive Modeling.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Forecasting 52

Smarten

DECEMBER 15, 2017

Plug n’ Play Predictive Analysis for Accurate Forecasting! One very important capability is Put n’ Play predictive analysis. Assisted Predictive Modeling and predictive analysis tools should include sophisticated functionality in a simple environment that is easy for every business user.

Predictive Analytics 63

Predictive Analytics Analytics Predictive Modeling Experimentation 63

Smarten

JUNE 19, 2019

Encourage Data Literacy and Achieve Results with Assisted Predictive Modeling! If you want to include predictive analytics and forecasting in your planning process, there are numerous analytical techniques and algorithms at your disposal. In short, augmented analytics learning does not have to include years of study.

Predictive Analytics 56

Predictive Analytics Analytics Predictive Modeling Forecasting 56