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 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Analytics Vidhya

JULY 9, 2020

Introduction Time series forecasting is a really important area of Machine Learning as it gives you the ability to “see” ahead of time and. The post Time Series Forecasting using Microsoft Power BI appeared first on Analytics Vidhya.

Forecasting 393

Forecasting Machine Learning Analytics IT 393

Analytics Vidhya

MARCH 23, 2023

With the growing importance of data science and machine learning, data analysis holds a special place in […] The post Creating Interactive and Animated Charts with ipyvizzu appeared first on Analytics Vidhya.

Interactive 361

Interactive Machine Learning Visualization Data Science 361

KDnuggets

JULY 25, 2019

Here are the top certificates and certifications in Analytics, AI, Data Science, Machine Learning and related areas.

Machine Learning 123

Machine Learning Data Science Analytics Business Analytics 123

David Menninger's Analyst Perspectives

MAY 13, 2019

These factors plus the velocity of data today — the unrelentingly rapid rate at which it is generated, both in enterprise systems and on the internet — add to the challenge of getting the data into a form that can be used for business tasks.

Business Analytics 180

Business Analytics Big Data Analytics Enterprise 180

Smart Data Collective

NOVEMBER 28, 2022

Analytics can also be predictive. Through machine learning, even basic tools can crunch historical data and provide predictions readily. Combined with visualization, analytics can help owners of even the smallest businesses to plan for the immediate future, like increasing inventory to prevent stockouts during peak sales.

Business Analytics 122

Business Analytics Analytics Business Intelligence Sales 122

Analytics Vidhya

FEBRUARY 20, 2023

Introduction Machine Learning is a fast-growing field, and its applications have become ubiquitous in our day-to-day lives. As the demand for ML models increases, so makes the demand for user-friendly interfaces to interact with these models.

Dashboards 250

Dashboards Machine Learning Interactive Modeling 250

Analytics Vidhya

FEBRUARY 3, 2022

In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Deep learning, natural language processing, and computer vision are examples […]. This article was published as a part of the Data Science Blogathon.

Data Science 319

Data Science Deep Learning Big Data Machine Learning 319

Decision Management Solutions

SEPTEMBER 29, 2020

Eric Siegel and I had a great discussion about doing Machine Learning BACKWARDS recently – you can watch the recording below or on our YouTube Channel. This discussion was prompted by Eric and I talking about the rate of failure in Machine Learning projects.

Machine Learning 94

Machine Learning Predictive Analytics Modeling Consulting 94

Analytics Vidhya

OCTOBER 4, 2022

Introduction From the past two decades machine learning, Artificial intelligence and Data Science have completely revolutionized the traditional technologies.

Machine Learning 268

Machine Learning Data Science Analytics Technology 268

datapine

NOVEMBER 27, 2019

Often seen as the highest foe-friend of the human race in movies ( Skynet in Terminator, The Machines of Matrix or the Master Control Program of Tron), AI is not yet on the verge to destroy us, in spite the legit warnings of some reputed scientists and tech-entrepreneurs. 4) Predictive And Prescriptive Analytics Tools.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Rocket-Powered Data Science

MARCH 19, 2021

The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money. But if they wait another three years, they will never catch up.”

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

CIO Business Intelligence

APRIL 9, 2025

For many, the level of sophistication can easily range from more sophisticated solutions like Power BI, Tableau, SAP Analytics or IBM Cognos to mid-tier solutions like Domo, Qlik or the tried and true elder statesman for all business analytics consumers, Excel.

Enterprise 89

Enterprise Analytics Experimentation Statistics 89

BizAcuity

APRIL 19, 2019

The answer lies in revolutionary machine learning and business analytics. ML and Business Analytics to the rescue. Adaptive machine and business analytics, applying cutting-edge machine learning and other technologies are proving helpful in spotting anomalies among users in real-time and fighting this issue.

Machine Learning 75

Machine Learning Metrics Data mining Business Analytics 75

BizAcuity

APRIL 15, 2019

And the most recent developments in machine learning, business analytics and more have made affiliate marketing more powerful and efficient than ever before. Ever since it’s boom, people have discovered diverse uses for machine learning and business analytics and have been using them to reach their target audiences.

Machine Learning 75

Machine Learning Marketing Analytics Business Analytics 75

Analytics Vidhya

APRIL 18, 2023

He mitigated from business analytics towards success and became a Data Scientist. Anshuman has developed expertise in the field of data […] The post Journey of a Data Scientist at Deloitte Using Analytics: Overcoming Challenges and Promoting Innovation appeared first on Analytics Vidhya.

Analytics 271

Analytics Data Science Business Analytics Machine Learning 271

datapine

MARCH 25, 2022

We already saw earlier this year the benefits of Business Intelligence and Business Analytics. In an article tackling BI and Business Analytics, Better Buys asked seven different BI pros what their thoughts were on the difference between business intelligence and analytics. Confused yet?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

DataKitchen

DECEMBER 30, 2020

DataKitchen provides an end-to-end DataOps platform that automates and coordinates people, tools, and environments in the entire data analytics organization—from orchestration, testing, and monitoring to development and deployment. CRN’s The 10 Hottest Data Science & Machine Learning Startups of 2020 (So Far).

Testing 241

Testing Big Data Statistics Manufacturing 241

datapine

AUGUST 14, 2019

Big companies that utilize R in their analytics operations, such as Google, Facebook, and LinkedIn , usually are finance and analytics-driven, as R has proved to be the top mechanism for data analysis, statistics, and machine learning. offers many statistics and machine learning abilities. Source: RStudio.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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. In business analytics, this is the purview of business intelligence (BI). Data analytics methods and techniques.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

BizAcuity

APRIL 1, 2023

1] With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. For predictive analytics to deliver high accuracy, a lot depends on the combination of domain knowledge and technical expertise.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. How Machine Learning Helps Detect and Prevent AML. Predictive Analytics. This is not the final step.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

APRIL 15, 2022

According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year. And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. AI algorithms identify everything but COVID-19.

Analytics 145

Analytics Machine Learning Insurance Testing 145

CIO Business Intelligence

DECEMBER 11, 2024

It was not alive because the business knowledge required to turn data into value was confined to individuals minds, Excel sheets or lost in analog signals. We are now deciphering rules from patterns in data, embedding business knowledge into ML models, and soon, AI agents will leverage this data to make decisions on behalf of companies.

Management 111

Management Data Governance Data Science Reporting 111

CIO Business Intelligence

MARCH 4, 2021

Business intelligence (BI) platforms are evolving. By adding artificial intelligence and machine learning, companies are transforming data dashboards and business analytics into more comprehensive decision support platforms.

Machine Learning 98

Machine Learning Dashboards Business Intelligence Business Analytics 98

Rocket-Powered Data Science

JULY 14, 2023

The criticality of these synergies becomes obvious when we recognize analytics as the products (the outputs and deliverables) of the data science and machine learning activities that are applied to enterprise data (the inputs). Pure analytics solutions can boost performance all across that data environment.

Analytics 166

Analytics Internet of Things Data Science Prescriptive Analytics 166

CIO Business Intelligence

MARCH 30, 2022

For organizations looking to move beyond stale reports, decision intelligence holds promise, giving them the ability to process large amounts of data with a sophisticated mix of tools such as artificial intelligence and machine learning to transform data dashboards and business analytics into more comprehensive decision support platforms.

Machine Learning 144

Machine Learning Testing Risk Data Collection 144

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence vs. business analytics Business analytics and BI serve similar purposes and are often used as interchangeable terms, but BI should be considered a subset of business analytics. Business analytics, on the other hand, is predictive (what’s going to happen in the future?)

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

Cloudera

FEBRUARY 8, 2021

In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. The vehicle-to-cloud solution driving advanced use cases.

Machine Learning 108

Machine Learning Manufacturing Unstructured Data Data Collection 108

datapine

JANUARY 31, 2022

Experience the power of Business Intelligence with our 14-days free trial! Driving performance and revenue is one of the relevant benefits of business analytics. Especially after we examined 6 case studies that showed the incredible ROI that is possible from using them and the many benefits of business analytics.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Analytics Vidhya

DECEMBER 4, 2022

The post XAI: Accuracy vs Interpretability for Credit-Related Models appeared first on Analytics Vidhya. Introduction The global financial crisis of 2007 has had a long-lasting effect on the economies of many countries. In the epic financial and economic collapse, many lost their jobs, savings, and much more.

Modeling 395

Modeling Risk Management Risk Management 395

Domino Data Lab

JULY 22, 2019

why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”. But for most enterprise, using machine learning…not really.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Smarten

SEPTEMBER 14, 2018

Predictive analytics for business users should allow the average business user to capitalize on sophisticated tools and get recommendations and auto-suggestions. With these tools, users can explore patterns in data and receive suggestions to help them gain insight on their own without dependence on IT or data scientists.

Predictive Modeling 40

Predictive Modeling Business Analytics Modeling Analytics 40

FineReport

JUNE 11, 2021

Business Analytics. Business analytics is how companies use statistical methods and techniques to analyze historical data to gain new insights and improve strategic decision-making. What is the difference between business intelligence and analytics? Sometimes, people use them interchangeably.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

Analytics Vidhya

APRIL 7, 2020

appeared first on Analytics Vidhya. Introduction “ Give me six hours to chop down a tree and I will spend the first four sharpening the axe.” – Abraham Lincoln. The post 10 Powerful and Time-Saving Data Exploration Hacks, Tips and Tricks!

Analytics 400

Analytics Data Science Business Analytics Machine Learning 400

Smart Data Collective

FEBRUARY 4, 2021

Find Tax Deductibles with Machine Learning. Besides, if you are using a digital tracking tool, it leverages machine learning, automatically finding expenses you can deduct. A lot of machine learning tools have made it easier to do your taxes. Any idea what is the entire point of tracking expenses?

Data Analytics 141

Data Analytics Analytics Cost-Benefit Big Data 141

Analytics Vidhya

FEBRUARY 28, 2023

Each aspect of data science, like data preparation, the importance of big data, and the process of automation, contributes to how data science is the future […] The post 30 Best Data Science Books to Read in 2023 appeared first on Analytics Vidhya. Introduction Data science has taken over all economic sectors in recent times.

Data Science 353

Data Science Big Data Analytics IT 353