DataRobot Blog

JUNE 27, 2022

In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Monitoring Model Metrics.

Risk 59

Risk Modeling Metrics Measurement 59

CIO Business Intelligence

JUNE 4, 2024

Nvidia and SAP also announced that Joule will receive new capabilities through Nvidia’s AI Enterprise software, and SAP will integrate Nvidia Omniverse Cloud APIs into its Intelligent Product Recommendation solution as well, so customers can use digital twins to visualize recommended products. That’s where we see the value.”

Enterprise 120

Enterprise Forecasting Sales Modeling 120

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

Research firm Gartner defines business analytics as “solutions used to build analysis models and simulations to create scenarios, understand realities, and predict future states.”. 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 126

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 126

DataRobot Blog

MAY 26, 2022

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

Risk 52

Risk Modeling Metrics Business Objectives 52

Jedox

SEPTEMBER 11, 2019

Even though we have so much advanced technology surrounding us, we still cannot just ask, “ Hey Siri, what’s my forecasted EBITDA look like ?” Many of the algorithms used for budgeting, planning, and forecasting are already in use and were proven decades ago. The post Hey Siri, What’s My Forecasted EBITDA Look Like?

Forecasting 59

Forecasting Experimentation Sales Unstructured Data 59

datapine

MARCH 31, 2022

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. For example, you could be the one to extract actionable insights from specific retail KPIs that need to be visualized and presented during a meeting. BI developer.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

IBM Big Data Hub

DECEMBER 18, 2023

Geographic information systems (GIS ) visualize and make sense of this data, helping people and businesses better understand the patterns and relationships of our world. In its most recognizable form, a GIS visualization is what you see when you route a trip on Google Maps.

Internet of Things 96

Internet of Things IoT Forecasting Visualization 96

CIO Business Intelligence

MAY 12, 2022

Most tools offer visual programming interfaces that enable users to drag and drop various icons optimized for data analysis. Visual IDE for data pipelines; RPA for rote tasks. Drag-and-drop Modeler for creating pipelines, IBM integrations. Visualization tools can help users understand what’s going on with just one glance.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. According to Gartner, the goal is to design, model, align, execute, monitor, and tune decision models and processes. Model-driven DSS. They emphasize access to and manipulation of a model.

Data mining 129

Data mining Data-driven Statistics OLAP 129

datapine

MAY 2, 2023

Using the right dashboard and data visualizations, it’s possible to hone in on any trends or patterns that uncover inefficiencies within your processes. In a recent move towards a more autonomous logistical future, Amazon has launched an upgraded model of its highly-successful KIVA robots. Where is all of that data going to come from?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Smart Data Collective

JANUARY 27, 2021

A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. Conversely, if predictive analytics models suggest that the value of a cryptocurrency price is likely to decrease, more investors are likely to sell off their cryptocurrency holdings.

Machine Learning 139

Machine Learning Forecasting Predictive Analytics Marketing 139

Smarten

MARCH 18, 2019

That world exists today with the evolution of sophisticated, yet easy-to-use tools that include predictive analytics for business users, visual analytics software and tools, and self-serve data preparation.

Predictive Analytics 40

Predictive Analytics Visualization Software Analytics 40

CIO Business Intelligence

MARCH 12, 2024

It can generate human-like prompts, suggest necessary actions, create templates, and provide narratives based on visuals and data,” said Andie Dovgan, chief growth officer at Creatio. Sales leaders will also be able to use it to enhance sales forecast accuracy and receive real-time coaching tips for their teams, the company said.

IT 96

IT Sales Forecasting Marketing 96

Domino Data Lab

MARCH 3, 2021

It’s often stated that nothing changes inside an enterprise because you’ve built a model. In some cases, data science does generate models directly to revenue, such as a contextual deal engine that targets people with offers that they can instantly redeem. But what about good decisions?

Metrics 93

Metrics Modeling Sales Data Science 93

CIO Business Intelligence

JUNE 7, 2022

To ensure robust analysis, data analytics teams leverage a range of data management techniques, including data mining, data cleansing, data transformation, data modeling, and more. It is frequently used for economic and sales forecasting. What are the four types of data analytics? It is frequently used for risk analysis.

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

Corinium

JUNE 6, 2019

Beyond that, we recommend setting up the appropriate data management and engineering framework including infrastructure, harmonization, governance, toolset strategy, automation, and operating model. How can advanced analytics be used to improve the accuracy of forecasting? There are three strong trends in Visual Analytics.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Smarten

JUNE 26, 2018

This article provides a brief explanation of the ARIMA method of analytical forecasting. What is ARIMA Forecasting? This analytical forecasting method is suitable for instances when data is stationary/non stationary and is univariate, with any type of data pattern, i.e., level/trend/seasonality/cyclicity. About Smarten.

Forecasting 40

Forecasting Enterprise IT Sales 40

Smarten

JUNE 29, 2018

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. What is ARIMAX Forecasting? This method is suitable for forecasting when data is stationary/non stationary, and multivariate with any type of data pattern, i.e., level/trend /seasonality/cyclicity. About Smarten.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

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. The exam consists of 65 multiple-choice or multiple-response questions, which the candidate has 180 minutes to complete.

Big Data 125

Big Data Data Analytics Analytics Predictive Modeling 125

Smarten

MARCH 7, 2024

Search Analytics is evolving at a rapid pace, and the concept of auto insights builds on the foundation of assisted predictive modeling and Clickless Analytics features, taking natural language processing (NLP) search analytics and predictive modeling to the next level.

Analytics 67

Analytics Predictive Modeling Machine Learning Visualization 67

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

IBM Big Data Hub

OCTOBER 19, 2023

Smallholder farmers lack access to hyperlocal weather forecasting and data that can help increase their crops’ chances of success, which jeopardizes the productivity and profitability of their season. A serverless architecture was ideal to keep infrastructure costs to a minimum under a “pay-per-use” model.

Forecasting 95

Forecasting Consulting Risk Modeling 95

CIO Business Intelligence

FEBRUARY 20, 2024

Others are weighing the advantages of subscription-based business models where industrial equipment, automation, and processes are delivered as a service. Siemens is integrating its Teamcenter software for product lifecycle management with Microsoft Teams and Copilot AI-powered problem reporting and visual quality inspection.

Manufacturing 85

Manufacturing Sales Risk Management Forecasting 85

Cloudera

JULY 27, 2021

Fitting Prophet models with complex seasonalities for electricity demand forecasting. Understanding the technologies underlying these examples – both what they can do, and how they work – relied heavily on exploration and visualization. We can explore model behaviour, as in Few-Shot Text Classification.

Data Science 117

Data Science Enterprise Experimentation Machine Learning 117

CIO Business Intelligence

SEPTEMBER 22, 2022

Seeing that remote working continues to be a pressing issue still finding its footing after nearly three years in beta testing, the work surrounding feasible solutions seems to compound as time goes on, with some intending a full return to office while others have forged the company future on remote models.

Uncertainty 103

Uncertainty Forecasting Visualization Big Data 103

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. provides the user with visualizations, code editor, and debugging. Let’s get started. Exclusive Bonus Content: Download Our Free Data & Science Checklist!

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smart Data Collective

JUNE 16, 2022

Team Upskilling: Train business analysts on planning, gap analysis, scoping & blueprinting, cost-benefit calculation of new initiatives, solution architecture, modelling, elicitation, requirement management, performance management, and other improvement initiatives. Financial visualization in key areas can fuel analytical decision-making.

Business Analytics 123

Business Analytics Analytics Forecasting Business Analysis 123

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. Capture, Consolidate, Visualize.

Uncertainty 94

Uncertainty Management Forecasting Predictive Modeling 94

Jedox

MAY 17, 2022

What Predictive Analytics Cannot Forecast. From the opening of Lloyd’s Coffee House in 1686, financial services professionals have been attempting to forecast what’s going to happen next. Whether or not the results of such forecasts beat random chance is highly dependent on the subject matter expert’s skills.

Predictive Analytics 83

Predictive Analytics Finance Analytics Forecasting 83

Smarten

MAY 31, 2022

When combined with Citizen Data Scientist initiatives, the adoption and use of predictive modeling and forecasting techniques can be a boon to any enterprise. Team members who have access to augmented analytics and assisted predictive modeling can plan better, predict more accurately and dependably meet goals and objectives.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

Smart Data Collective

NOVEMBER 24, 2020

In the future of business intelligence, it will also be more common to break data-based forecasts into actionable steps to achieve the best strategy of business development. In the future of business intelligence, eliminating waste will be easier thanks to better statistics, timely reporting on defects and improved forecasts.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

Cloudera

APRIL 9, 2021

The third video in the series highlighted Reporting and Data Visualization. Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. This integration is key in assuring that models evolve with the data – to avoid, for example, model drift.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Smart Data Collective

MAY 13, 2022

Most traditional business insight tools are no longer capable of processing and visualizing the growing volumes of complex data coming from various devices, channels, and business systems. Before you can have AI-driven apps, you need to train a machine learning model to do the work. Business insight and data analytics landscape.

Business Analytics 135

Business Analytics Analytics Unstructured Data Data-driven 135

datapine

AUGUST 14, 2020

A customer retention dashboard and metrics depicted in a neat visual will help you in monitoring, analyzing, and managing multiple customer-centric points and how they echo in your business. A professional dashboard maker can help in the process, but let’s see this through some visual examples of customer retention.

Dashboards 176

Dashboards Metrics B2B Visualization 176

Cloudera

FEBRUARY 25, 2021

AMPs move the starting line for any ML project by enabling data scientists to start with a full end-to-end project developed for a similar use case, including a trained and deployed ML model, as well as prebuilt predictive business applications, out of the box. The work of a machine learning model developer is highly complex.

Deep Learning 84

Deep Learning Machine Learning Forecasting Visualization 84

Timo Elliott

JANUARY 4, 2021

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. We’re no longer talking about tinkering at the margins of a stable business model. It’s now about using data for survival in the present and new business models in the future.

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Dashboards Visualization Data-driven Forecasting 139