David Menninger's Analyst Perspectives

JANUARY 20, 2021

Businesses are transforming their organizations, building a data culture and deploying sophisticated analytics more broadly than ever. However, the process of using data and analytics is not always easy. The necessary tools are often separate, but our research shows organizations prefer an integrated environment.

Business Analytics 268

Business Analytics Analytics Business Intelligence Internet of Things 268

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

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

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

KDnuggets

JULY 25, 2019

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

Machine Learning 122

Machine Learning Data Science Analytics Business Analytics 122

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

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 198

Dashboards Machine Learning Interactive Modeling 198

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

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 349

Interactive Machine Learning Visualization Data Science 349

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 244

Machine Learning Data Science Analytics Technology 244

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 392

Forecasting Machine Learning Analytics IT 392

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 304

Data Science Deep Learning Big Data Machine Learning 304

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

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 259

Analytics Data Science Business Analytics Machine Learning 259

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

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

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

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 85

Data Science Data Analytics Prescriptive Analytics Analytics 85

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-driven 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 Modeling 108

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

Cloudera

FEBRUARY 25, 2021

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. The work of a machine learning model developer is highly complex. We work with the largest companies in the world to help tackle their most challenging ML problems.

Deep Learning 83

Deep Learning Machine Learning Forecasting Visualization 83

Cloudera

OCTOBER 4, 2023

A unique architecture to optimize for real-time data warehousing and business analytics: Cloudera Data Platform (CDP) offers Apache Kudu as part of our Data Hub cloud service, providing a consistent, dependable way to support the ingestion of data streams into our analytics environment, in real time, and at any scale.

Data Warehouse 87

Data Warehouse Experimentation Cost-Benefit Dashboards 87

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

OCTOBER 6, 2022

Artificial Intelligence (AI) is fast becoming the cornerstone of business analytics, allowing companies to generate value from the ever-growing datasets generated by today’s business processes. Optimising HPC and AI Workloads.

Internet of Things 98

Internet of Things Manufacturing Digital Transformation Cost-Benefit 98

Smart Data Collective

MAY 29, 2023

As a result of the benefits of business analytics , the demand for Data analysts is growing quickly. With the introduction and use of machine learning, AI tech is enabling greater efficiencies with respect to data and the insights embedded in the information.

Data Collection 77

Data Collection Big Data Statistics Software 77

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

bridgei2i

NOVEMBER 18, 2020

Analytics Insight is a publication focused on Artificial Intelligence, Big Data and Analytics. For this study, the publication evaluated companies that cover areas of Data Science – Data Analytics, Big Data, Business Analytics, Machine Learning, Artificial Intelligence & Deep Learning.

Data Science 52

Data Science Contextual Data Deep Learning Big Data 52

Smart Data Collective

MAY 8, 2022

Business analytics. According to a study, 97% of businesses invest in big data and AI. Above all, there needs to be a set methodology for data mining, collection, and structure within the organization before data is run through a deep learning algorithm or machine learning.

Big Data 106

Big Data Data Analytics Analytics Cost-Benefit 106

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 52

Business Intelligence Analytics Dashboards Statistics 52

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

CIO Business Intelligence

MARCH 16, 2022

It is rare to see clients say, ‘we need machine learning or AI,’ but we often hear ‘we have a problem with our operations,’ ‘let us know where we are going wrong,’ ‘how do we serve customers better,’ or ‘we want to enhance our user experience.’ Kiran Marri, chief scientist at CSS Corp.,

Forecasting 98

Forecasting Machine Learning Technology Enterprise 98

Sisense

AUGUST 19, 2020

Big data, analytics, cloud computing, data mining, data science — the buzzwords of the modern data and analytics industry — have taken every business and organization by storm, no matter the scale or nature of the business. These insights have helped improve machine learning models with more precise data.

Big Data 52

Big Data Machine Learning Digital Transformation Marketing 52

FineReport

MARCH 24, 2024

Excel: Widely used for preliminary data analysis and modeling, featuring advanced business analytics options. Here’s a structured approach to becoming a Data Analyst: Obtain a bachelor’s degree in a related field like computer science, mathematics, or business analytics.

Statistics 52

Statistics Data mining Visualization Reporting 52

Cloudera

MAY 27, 2021

This could be addressed with an explanation of how a technology works — how, for instance, machine learning (ML) engines get better at their tasks by being fed gobs of data. Sometimes, even if everything is done to deliver ethical outcomes, the machine may still make predictions and assumptions that don’t abide by these rules.

Machine Learning 117

Machine Learning Big Data Consulting Technology 117

Birst BI

JANUARY 16, 2018

If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind. Machine learning will transform BI and analytics. Any business leader already knows that AI is a large field.

Data-driven 70

Data-driven Analytics Dashboards Machine Learning 70