BizAcuity

MAY 16, 2022

His name was William Gosset and he is credited to have developed the student t-test. Now, businesses, regardless of the industry, are leveraging data and Business Intelligence to stay ahead of the competition. Business Intelligence. Data allowed Guinness to hold their market dominance for long.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

David Menninger's Analyst Perspectives

SEPTEMBER 23, 2021

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

Key Performance Indicator 299

Key Performance Indicator Optimization Analytics Statistics 299

David Menninger's Analyst Perspectives

SEPTEMBER 23, 2021

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

Machine Learning 235

Machine Learning Key Performance Indicator Optimization Analytics 235

Smarten

DECEMBER 3, 2023

What is Augmented Analytics and How Has it Evolved? 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.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

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. The discipline is a key facet of the business analyst role. Business analytics techniques.

Business Analytics 135

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 135

Paul Blogs on BI

MARCH 25, 2020

At the same time because I am so passionate about Business Intelligence and can see how it is being both used and abused in this situation, I felt compelled to share my viewpoint. As more testing becomes available this first metric will increase significantly.

Business Intelligence 51

Business Intelligence Measurement Metrics Cost-Benefit 51

CIO Business Intelligence

SEPTEMBER 14, 2023

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Database-centric: In larger organizations, where managing the flow of data is a full-time job, data engineers focus on analytics databases. What is a data engineer?

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

datapine

APRIL 13, 2021

The answer is modern agency analytics reports and interactive dashboards. In this article, we will cover every fundamental aspect to take advantage of agency analytics. Let’s dig in with the definition of agency analytics. Your Chance: Want to test a powerful agency analytics software? What Are Agency Analytics?

Dashboards 256

Dashboards Reporting Analytics Cost-Benefit 256

Smarten

JULY 26, 2022

Smarten is pleased to announce the launch of its Mobile Application for Smarten Augmented Analytics. Smarten CEO, Kartik Patel says, “The availability of Smarten augmented analytics on a mobile device encourages user adoption and provides support for business intelligence investments and data democratization.”

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

Smarten

JANUARY 27, 2023

Smarten has announced the launch of Predictive Model Mark-Up Language (PMML) Integration capability for its Smarten Augmented Analytics suite of products. Enjoy the Smarten feature set and seamless workflow to perform predictive analytics with support of REST-API for third-party apps for prediction.

Predictive Modeling 52

Predictive Modeling Analytics Predictive Analytics Business Intelligence 52

AWS Big Data

NOVEMBER 29, 2023

The Eightfold Talent Intelligence Platform powered by Amazon Redshift and Amazon QuickSight provides a full-fledged analytics platform for Eightfold’s customers. It delivers analytics and enhanced insights about the customer’s Talent Acquisition, Talent Management pipelines, and much more.

Metadata 103

Metadata Data Warehouse Analytics Data Analytics 103

Smart Data Collective

OCTOBER 8, 2023

In such a murky pool, the application of data analytics emerges as an invaluable tool. This article delves into the profound impact data analytics can have on fast food legal cases. It is an interdisciplinary field, combining computer science, statistics , mathematics, and business intelligence.

Data Analytics 95

Data Analytics Analytics Statistics Data Collection 95

Smarten

JUNE 17, 2022

Smarten announces the recent certification of its Smarten Augmented Analytics Software product by CERT-IN. After completion of the testing procedure, the certificate is provided to show that all requirements were met. Contact the Smarten team for more information on Smarten Augmented Analytics solution. About Smarten.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

David Menninger's Analyst Perspectives

JANUARY 24, 2023

However, manual modeling is a time-consuming process and results in a limited number of models and tests. By identifying these factors, organizations can better plan for changing market environments and seize market opportunities. Also, updating those models is slow and laborious.

Forecasting 130

Forecasting Analytics Machine Learning Testing 130

Smarten

OCTOBER 31, 2022

Does My Business Needs Both Traditional BI & Augmented Analytics? Every business is unique and it is that unique character that drives its decisions. When it comes to analytics, and the democratization of data throughout the enterprise, the choices a business makes will be based on its unique needs.

Key Performance Indicator 67

Key Performance Indicator Analytics Cost-Benefit Predictive Modeling 67

Smarten

JANUARY 31, 2019

Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics. How is Advanced Analytics Different from Business Intelligence?

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Smart Data Collective

APRIL 12, 2019

Making a plan for a plan is a convoluted way of saying you should try to test the waters first. Whether you work in government or own your own business, you can take a lot of practical tips from how Brexit is unfolding. The post 6 Valuable Business Intelligence Lessons From Brexit appeared first on SmartData Collective.

Business Intelligence 75

Business Intelligence Key Performance Indicator Advertising Data Processing 75

datapine

APRIL 14, 2022

When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs. Behind the scenes.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 85

Data Science Data Analytics Prescriptive Analytics Analytics 85

Jet Global

FEBRUARY 13, 2024

While focusing on AI becomes more important, managing current analytics challenges is costing organizations $115K per developer every year RALEIGH, N.C. – Five years from now, 84% of developers believe GenAI will be the most important analytics capability. Buyers should seek solutions with robust, tested security features and controls.

Analytics 52

Analytics Dashboards Reporting Predictive Analytics 52

AWS Big Data

MAY 9, 2024

As data analytics use cases grow, factors of scalability and concurrency become crucial for businesses. Your analytic solution architecture should be able to handle large data volumes at high concurrency and without compromising speed, thereby delivering a scalable high-performance analytics environment.

Testing 77

Testing Cost-Benefit Optimization Reporting 77

AWS Big Data

NOVEMBER 14, 2023

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it straightforward and cost-effective to analyze all your data at petabyte scale, using standard SQL and your existing business intelligence (BI) tools. Today, tens of thousands of customers run business-critical workloads on Amazon Redshift.

Data Warehouse 60

Data Warehouse Analytics Testing Cost-Benefit 60

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Modern analytics is much wider than SQL-based data warehousing. Solution overview AWS SCT uses a service account to connect to your Azure Synapse Analytics.

Analytics 95

Analytics Data Warehouse Testing Dashboards 95

CIO Business Intelligence

AUGUST 25, 2023

Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing process.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

Octopai

JULY 15, 2020

We see this in many spaces – automation in manufacturing companies, robotics, automated testing. The interesting thing about Octopai is that the data management and business intelligence world has reached such great complexity that automation evolved from “a nice to have” to a “must have.”

Business Intelligence 61

Business Intelligence Metadata Cost-Benefit Risk 61

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

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Smarten

MARCH 31, 2023

Integration of PMML Models From Third-Party Platforms Supports Business User Needs! Gartner research reveals that, ‘80% of analytics insights will not deliver business outcomes.’ PMML models feed the analytical process by providing records and data for analysis.

Analytics 52

Analytics Predictive Modeling ROI Modeling 52

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. Amazon Redshift use case Gameskraft used Amazon Redshift RA3 instances with Redshift Managed Storage (RMS) for their data warehouse.

Data Warehouse 90

Data Warehouse Data Lake Analytics Data Science 90

Smart Data Collective

AUGUST 10, 2021

Big data and analytics technology is rapidly changing the future of modern business. Over 67% of companies spend over $10,000 a year on analytics solutions. Investments in analytics are being made across all major industries. Analytics Becomes Major Asset to Companies Across All Sectors.

Data Analytics 136

Data Analytics Analytics Big Data Key Performance Indicator 136

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.’ Complete Set of Analytical Techniques. Hypothesis Testing. Predictive Analytics Using External Data.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

AWS Big Data

NOVEMBER 29, 2023

Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools. Amazon Redshift Serverless, generally available since 2021, allows you to run and scale analytics without having to provision and manage the data warehouse. Let’s dive into the highlights.

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

CIO Business Intelligence

AUGUST 9, 2022

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Database-centric: In larger organizations, where managing the flow of data is a full-time job, data engineers focus on analytics databases. What is a data engineer? Data engineer job description.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

Smarten

JUNE 10, 2022

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor ! According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Predictive Modeling to support business needs, forecast, and test theories.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

DataKitchen

JANUARY 19, 2022

The Matillion data integration and transformation platform enables enterprises to perform advanced analytics and business intelligence using cross-cloud platform-as-a-service offerings such as Snowflake. Adding DataOps to ETL processes is the secret to eliminating errors and dramatically improving analytic cycle times.

Testing 130

Testing Data Integration Data Warehouse Enterprise 130