Smarten

JUNE 10, 2022

Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart! Data Privacy to ensure government and industry regulations are in compliance as business users adopt self-serve BI tools. Predictive Modeling to support business needs, forecast, and test theories.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Smarten

NOVEMBER 8, 2022

By providing this course as a free online offering Smarten hopes to further support and encourage users and businesses to embrace the very real benefits of the Citizen Data Scientist approach to analytics and objective, data-driven metrics and results. About Smarten.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

Birst BI

OCTOBER 30, 2018

This data retrieval and summarization capability gave rise to what we now know as the business intelligence industry. Today, the most common usage of business intelligence is for the production of descriptive analytics. . Seven Steps to Success for Predictive Analytics in Financial Services. Accounts in use.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

FineReport

APRIL 9, 2024

Benefits of Healthcare Business Intelligence Tools Improved Decision-Making: Healthcare BI tools enable informed decision-making by providing real-time data analysis and predictive insights. This not only enhances the quality of care but also contributes to improved patient outcomes.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

IBM Big Data Hub

SEPTEMBER 19, 2023

Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes. Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

Juice Analytics

MARCH 11, 2021

3) That’s where our data visualization and user experience capabilities helped them turn this data into a web-based analytical tool that focused users on the metrics and peer groups they cared about. Predictive models to take descriptive data and attempt to tell the future.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

CIO Business Intelligence

MAY 26, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 128

Advertising Machine Learning Software Measurement 128

CIO Business Intelligence

MAY 28, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 119

Advertising Machine Learning Software Measurement 119

DataKitchen

SEPTEMBER 21, 2023

Moreover, advanced metrics like Percentage Regional Sales Growth can provide nuanced insights into business performance. Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes.

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

Smarten

JUNE 29, 2018

For example, a business might use this technique to understand whether there was a difference in manager salaries before and after undertaking a PhD program. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

AWS Big Data

MARCH 7, 2023

It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. You can collect metrics and events and analyze them for operational efficiency. However, you aren’t limited to only these services.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

IBM Big Data Hub

AUGUST 28, 2023

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes. How does text mining work?

Data mining 58

Data mining Machine Learning Deep Learning Marketing 58

Birst BI

AUGUST 23, 2018

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1]

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Smarten

NOVEMBER 19, 2018

Predictive analytics can help a business understand the buying behavior of its customers and prospects and plug n’ play predictive and forecasting tools help businesses to create Citizen Data Scientists and establish metrics and goals across the enterprise for uniform execution and understanding of business objectives.

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

Decision Management Solutions

NOVEMBER 13, 2018

One insurance client we are working with has used a decision model of their claims handling decision to identify how they will be able to use a predictive model that identifies fraud as well as a second that identifies medical wastage alongside existing policy and regulatory decision-making.

Insurance 40

Insurance Analytics Modeling Visualization 40

CIO Business Intelligence

MARCH 5, 2024

To drive results with copilots, IT leaders should weigh in on who should experiment, which business functions, what compliance considerations, and which AI gen tools. As copilot technology capabilities are changing rapidly, leaders should frequently identify metrics and evaluate strategies. Generative AI, IT Strategy

Cost-Benefit 124

Cost-Benefit Advertising Experimentation Software 124

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Experience the power of Business Intelligence with our 14-days free trial! Why Is Business Intelligence So Important?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

AUGUST 15, 2023

The launch of the first Pit Pass store, located in the Atlanta area, represents a pivot from a traditional brick-and-mortar retailer to a robust omnichannel brand, enabling Discount Tire to provide a more seamless, intuitive customer experience with intelligent workflows that cut down on store visit times.

IT 98

IT Manufacturing IoT Cost-Benefit 98

Smarten

JUNE 29, 2018

Given a set of transactions, this process aims to find the rules that enable us to predict the occurrence of a specific item based on the occurrence of other items in the transaction. While there are numerous metrics and factors used in this technique, for this example, we will only consider two factors namely, Support and Confidence.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. 2019 was a particularly major year for the business intelligence industry. Source: Business Application Research Center *.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Rocket-Powered Data Science

SEPTEMBER 20, 2021

The data scientists need to find the right data as inputs for their models — they also need a place to write-back the outputs of their models to the data repository for other users to access. The BI team may be focused on KPIs, forecasts, trends, and decision-support insights. That’s data insights for everyone.

Data Science 285

Data Science Forecasting Business Intelligence Sales 285

datapine

DECEMBER 4, 2019

Business intelligence has undergone many changes in the last decade. Each year, we hear about buzzwords that enter the community, language, market and drive businesses and companies forward. That’s why we have prepared a list of the most prominent business intelligence buzzwords that will dominate in 2020.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Smarten

MARCH 13, 2024

AUGMENTED ANALYTICS SOLUTIONS When selecting an augmented analytics solution, your enterprise must choose tools that are designed specifically for business users with average technology and analytical skills. Role – Day-to-day business decisions, team collaboration and data sharing.

Analytics 52

Analytics Predictive Modeling Strategy Enterprise 52

Smarten

JUNE 22, 2022

When faced with the challenge of improving data literacy and enabling digital transformation, the business would do well to consider the Embedded BI with integration APIs approach.’. So, if your team is already used to enterprise, best-of-breed or legacy systems, why not add integrated analytics via embedded business intelligence?

Slice and Dice 76

Slice and Dice Digital Transformation Business Intelligence Predictive Modeling 76

Smarten

DECEMBER 3, 2023

Perhaps your business is considering an augmented analytics solution, or your enterprise already has some version of business intelligence or analytics and it wishes to upgrade or transition to a more beneficial solution. What is Augmented Analytics and How Has it Evolved?

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Jet Global

MAY 9, 2024

Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data. For example, a pipeline might ingest customer data, clean and transform it, train a predictive model, and deploy the model for real-time predictions.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., CRM, ERP, EHR/EMR) or portals (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52