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 132

Data Analytics Diagnostic Analytics Management Analytics 132

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 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

Smarten

SEPTEMBER 14, 2018

You can’t get a business loan, join with a business partner, successfully bid on a project, open a new location, hire the right employees or plan for the future without predictive analytics. And, with Assisted Predictive Modeling , you can make these tasks even easier.

Predictive Modeling 40

Predictive Modeling Business Analytics Modeling Analytics 40

Smarten

JUNE 21, 2018

This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. What is the Holt-Winters Forecasting Algorithm? The Holt-Winters algorithm is used for forecasting and It is a time-series forecasting method. 2) Double Exponential Smoothing Use Case.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

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

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

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. Use an interpretable approach to forecasting electricity demand data for California.

Deep Learning 83

Deep Learning Machine Learning Forecasting Visualization 83

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

Cloudera

JANUARY 5, 2021

In today’s retail environment, retailers realize that building demand forecasts simply based upon historical transaction, promo, and pricing data alone is not good enough. Retail supply chains are a recognized and proven source of ROI when data analytics are leveraged to improve forecast accuracy and product availability.

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

CIO Business Intelligence

MARCH 16, 2022

CIO.com India asked IT leaders from different industries about the strategies they use to forecast which skills they will need. With the accelerated pace of technology adoption, how are CIOs to identify the skillsets they need in their team? We follow industry developments quite closely and do our own research.

Forecasting 96

Forecasting Machine Learning Technology Enterprise 96

Jet Global

MAY 9, 2024

Machine Learning Pipelines : These pipelines support the entire lifecycle of a machine learning model, including data ingestion , data preprocessing, model training, evaluation, and deployment. For example, migrating customer data from an on-premises database to a cloud-based CRM system. What is an ETL pipeline?

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

FineReport

MARCH 24, 2024

Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. JPMorgan Chase & Co.:

Statistics 52

Statistics Data mining Visualization Reporting 52

AWS Big Data

OCTOBER 11, 2023

The data in the machine-readable files can provide valuable insights to understand the true cost of healthcare services and compare prices and quality across hospitals. The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data.

Visualization 99

Visualization Dashboards Data-driven Gap analysis 99

FineReport

APRIL 9, 2024

Among the latest BI trends , advanced analytics and predictive modeling stand out as key focal points, enabling businesses to extract deeper insights from their data assets. As businesses navigate an increasingly data-driven environment, staying abreast of these trends is essential for leveraging data as a strategic asset.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

datapine

AUGUST 29, 2022

James Warren, on the other part, is a successful analytics architect with a background in machine learning and scientific computing. 5) Data Analytics Made Accessible, by Dr. Anil Maheshwari. 17) Analytics in a Big Data World: The Essential Guide to Data Science and its Applications, by Bart Baesens.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Cloudera

FEBRUARY 18, 2021

I’m sure you’ve already ready a number of trends and forecasts for 2021. Here I’ll comment on a few of the data and analytics-focused trends we see that will impact insurers in 2021 and beyond. . Trend #1: Expanded Use of ML/AI as Part of Digital Acceleration.

Insurance 105

Insurance Digital Transformation Risk Data-driven 105

Smarten

AUGUST 9, 2017

If your role in business demands that you stay abreast of changes in business analytics, you are probably familiar with the term Smart Data Discovery. You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’ , Published 27 July 2017, by Rita L.

Analytics 40

Analytics IT Statistics ROI 40

Sisense

FEBRUARY 1, 2021

As we clarify the functional distinction between the two types of frameworks and summarize the rationale for choosing one or the other, an exciting new event in the evolution of product life cycle management emerges: The application of machine-learning-based (ML) analytics is sharpening PLM frameworks.

Management 52

Management Analytics Manufacturing Cost-Benefit 52

Sisense

MAY 27, 2021

Spending on AI is forecast to double over the span of four years, growing from just over $50 billion in 2020 to a whopping $110 billion in 2024. And Brian had one final piece of advice for product teams: “Don’t forget traditional business analytics,” he said. “AI billion by 2027!

Forecasting 52

Forecasting Sales Analytics Marketing 52

datapine

NOVEMBER 11, 2021

A common use for AI in the business intelligence industry is through smart data alerts that will save users the tedious task of manually checking if anything changed in their data. As its name suggests, the predictive analytics feature aims to generate forecasts about future performance.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

Rita Sallam

JULY 22, 2016

Again, check out the Critical Capabilities for BI and Analytic Platforms for how each vendor compares. Research VP, Business Analytics and Data Science. The post Modernize Using The BI & Analytics Magic Quadrant appeared first on Rita Sallam. Enjoy your summer!! Thanks for reading and stay tuned. Twitter: @rsallam.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

CIO Business Intelligence

MARCH 22, 2022

In his new role, Ramamoorthy will lead technology and digital transformation for the bank, as well as be responsible for modern technologies such as APIs, AI and machine learning, and business intelligence. Purohit stepped down from the position in June. Nitin Mittal joins Zee Entertainment Enterprises.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98