Cloudera

SEPTEMBER 5, 2018

More data sets for longer historical time periods usually means better predictive models. For example, cash transactions over $10,000 are automatically flagged and included in a cash transaction report (CTR). Confirmed alerts go into suspicious activity reports (SARs) which are then sent to regulators. Link analysis.

Machine Learning 40

Machine Learning Risk Cost-Benefit Big Data 40

IBM Big Data Hub

NOVEMBER 29, 2023

.” No-code and low-code solutions for time series data exploration IBM introduced Downer to the realm where no-code and low-code solutions could build predictive models to provide faster insights. Downer was able to streamline modeling times with watsonx.ai “These tools offer an array of analytics options.

Predictive Modeling 65

Predictive Modeling Data-driven Data Science Forecasting 65

CIO Business Intelligence

DECEMBER 11, 2023

This can include steps like replacing the traditional net present value/discounted cash flow calculator with multi-scenario models to stress-test multiple different forecasts under countless different scenarios. Learn more about how EXL can put generative AI to work for your business here.

Finance 86

Finance Forecasting IoT Predictive Modeling 86

CIO Business Intelligence

JULY 24, 2023

Insights gleaned from Mediacoach are intended for technical staff—coaches and doctors, for example—but LaLiga has also created Beyond Stats, a portal powered by Mediacoach that packages and presents data for media and fans via a range of accessible dashboards. “We million data points per match.

Broadcasting 78

Broadcasting Recreation/Entertainment Testing Machine Learning 78

Juice Analytics

APRIL 21, 2021

There are many choices: Dashboards Reports Self-service BI tools Predictive models One-off analyses using slides Spreadsheet models It is a confusing array of ways to deliver data to these data consumers. Do they need to be able to dig deeply into the data, or can results be shared with a static presentation of insights?

Advertising 113

Advertising Data-driven Dashboards Predictive Modeling 113

CIO Business Intelligence

MARCH 5, 2024

Microsoft’s benchmarks show that 70% of Copilot users said they were more productive, 68% reported it improved the quality of their work, and 67% used the time saved to focus on more important work. While that’s a limitation, there are reports of promised functionality not yet available.

Cost-Benefit 107

Cost-Benefit Advertising Experimentation Software 107

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. What Is Business Intelligence And Analytics? Let’s see it with an example.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

FineReport

MARCH 31, 2024

In today’s dynamic business landscape, Business Intelligence (BI) tools are indispensable software applications crafted to extract, transform, and present data, facilitating strategic decision-making. What Are the Best BI Tools? Why is Choosing the Best BI Tools Important? Best BI Tools for Data Analysts 3.1

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

CIO Business Intelligence

JULY 5, 2022

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 also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

Business Analytics 120

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 120

Smarten

JUNE 22, 2022

Embedded BI and Augmented Analytics includes traditional BI components like dashboards, KPIs, Reports with interactive drill-down, drill through, slice and dice and self-serve analytics capabilities. Benefits of Embedded BI.

Slice and Dice 76

Slice and Dice Digital Transformation Business Intelligence Predictive Modeling 76

CIO Business Intelligence

JULY 17, 2023

Powering transformation with data To get there, Dickson spent his first year at Generac devising and presenting a detailed digital transformation for the manufacturer, centered around data. Also vital has been the fact that the IT team under his leadership reports directly to the CEO , Dickson notes. billion company. billion.

IoT 87

IoT Digital Transformation Manufacturing Sales 87

Smarten

JANUARY 27, 2023

Flexible, Personalized Interface and Reporting – Select a solution that is not restrictive. Data Visualization – Smart Data Visualization allows your users to build a view that will tell a story, with suggestions and recommendations to help the user decide how to present the data so that it is clear.

Analytics 52

Analytics Business Intelligence Predictive Modeling Predictive Analytics 52

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. Broken models are definitely disruptive to analytics applications and business operations. ” “Just 26.5%

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Smarten

JUNE 10, 2022

Predictive Modeling to support business needs, forecast, and test theories. A BI tool is crucial for business users to monitor and present data. Cross-Tab Reporting. Intuitive Reporting. Your business needs web-based BI reports that are simple to use, practical to implement and affordable for every organization.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Juice Analytics

MARCH 11, 2021

Take the Academic Insights data product we designed and built for US News and World Report as an example of finding this intersection. (1) I spoke to a credit card executive recently who mentioned how his bank spent huge sums of money on benchmarking reports. Predictive models to take descriptive data and attempt to tell the future.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

Cloudera

JUNE 27, 2023

Reducing cost with modern data architecture A recent report from McKinsey says that “Telcos’ success hinges on leveraging data and deploying advanced analytics, AI, and automation at scale to drive new growth and change the broader economics of the business.” Customer complaints are costly!

Data Architecture 62

Data Architecture Predictive Modeling Data Governance Data-driven 62

datapine

JANUARY 31, 2022

BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. For example, by using prediction models, they are able to generate a heatmap to tell drivers where they should place themselves to take advantage of the best demand areas.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

JUNE 20, 2022

To date, the company, which primarily manufactures elevators for corporate buildings but also has some residential units in its portfolio, also reports a reduction in technician site visits of between 10% and 15% and a drop in call backs of between 10% and 20%. That’s where a lot of the artificial intelligence and machine learning is applied.

Internet of Things 104

Internet of Things IoT Manufacturing Data Lake 104

O'Reilly on Data

MAY 18, 2020

To date, at least 1,200 reports of AI incidents have been recorded in various public and research databases. All predictive models are wrong at times?—just As the renowned statistician George Box once quipped , “All models are wrong, but some are useful.” just hopefully less so than humans. and the U.S.

Risk 357

Risk Modeling Data Processing Software 357

Cloudera

OCTOBER 19, 2023

Consolidation presents perhaps the biggest overall challenge, not only with respect to the complexity of integrating dissimilar IT systems and data platforms, but also that of merging and reconciling business processes and operations.

Data-driven 75

Data-driven Data Architecture Predictive Modeling Digital Transformation 75

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 Visualization 106

FineReport

APRIL 24, 2024

What is Data Visualization Understanding the Concept Data visualization, in simple terms, refers to the presentation of data in a visual format. It enables organizations to effectively convey their findings and insights, fostering collaboration and driving impactful decisions based on the presented information.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. Comparing leading BI tools provides valuable insights into the diverse capabilities and features available for data analysis and reporting.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

CIO Business Intelligence

APRIL 22, 2022

For example, data analysts should be on board to investigate the data before presenting it to the team and to maintain data models. Incrementally, presentations that communicate what the team is up to are also important deliverables. Knime: Knime is an open source data analytics, reporting, and integration platform.

Data Science 135

Data Science Statistics Machine Learning Visualization 135

Smarten

DECEMBER 3, 2023

Look for a full suite of products and modules, including self-serve data preparation , assisted predictive modeling , smart data visualization , and a product that is built on a natural language processing (NLP) foundation for easy NLP searching. The augmented analytics market is large, and there are many products available.

Analytics 40

Analytics Predictive Modeling Cost-Benefit Visualization 40

CIO Business Intelligence

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. Generally, the output of data analytics are reports and visualizations. Data analytics and data science are closely related.

Data Analytics 123

Data Analytics Diagnostic Analytics Management Analytics 123

O'Reilly on Data

SEPTEMBER 19, 2023

While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” And that brings our story to the present day: Stage 3: Neural networks High-end video games required high-end video cards.

Machine Learning 243

Machine Learning Testing Modeling Cost-Benefit 243

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Smarten

FEBRUARY 17, 2022

If the user has to wait for assistance to complete a query or a report, they will find another way to get the job done, and the Citizen Data Scientist initiative will falter. Culture Change.

Predictive Modeling 76

Predictive Modeling Digital Transformation Enterprise Data Science 76

Smarten

JANUARY 24, 2019

Business users can leverage machine learning and assisted predictive modeling to achieve the best fit and ensure that they use the most appropriate algorithm for the data they wish to analyze. This seamless, intuitive process enables business users to quickly and easily select and analyze data without guesswork or advanced skills.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

Occam's Razor

NOVEMBER 18, 2014

There is something magical about taking an incredible amount of complexity and presenting it as simply as we possibly can with the goal of letting the cogently presented insight drive action. Short story #2: Predictive Modeling, Quantifying Cost of Inaction. Short story #1: Treemaps, Sunbursts, Packed Trees, Oh My!

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

Smarten

NOVEMBER 12, 2019

This approach allows users who are not statisticians, data scientists, programmers or analysts to leverage self-service tools to confidently make business decisions, share data, and reports and present data in a way that allows the organization to identify trends, patterns, opportunities and challenges.

Analytics 51

Analytics Predictive Modeling Data-driven Modeling 51

Smarten

JULY 30, 2018

Hospitals and healthcare systems are turning to predictive analytics tools to plan and forecast and understand what, when and how to support patients. Some hospitals use predictive analysis software to gather data and analysis the incidence of readmissions for patients presenting with critical health issues.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Forecasting 40

FineReport

APRIL 9, 2024

In addition to security concerns, achieving seamless healthcare data integration and interoperability presents its own set of challenges. The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Smarten

JULY 31, 2019

Many organizations depend on the vision of one individual or a small team of executives who have market or industry experience. By offering recommendations and options, the team will begin to consider other possibilities and, as the data foundation is created, the argument for ‘going with your gut’ will fade.

Predictive Modeling 40

Predictive Modeling Metrics Measurement ROI 40

Domino Data Lab

AUGUST 12, 2021

In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase. After the radiologists looks at the case, they write a report that describes the findings of the abnormality in question. Pandas Profiler. format(name, missing)).

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

Smarten

DECEMBER 3, 2023

Users can replace guesswork and opinion with fact-based presentations and recommendations for more measurable analysis of trends, product pricing, financial investment, manufacturing and production and all other business factors. One such example focuses on Coca-Cola.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40