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 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

Smarten

JUNE 26, 2018

This article provides a brief explanation of the ARIMA method of analytical forecasting. What is ARIMA Forecasting? This analytical forecasting method is suitable for instances when data is stationary/non stationary and is univariate, with any type of data pattern, i.e., level/trend/seasonality/cyclicity.

Forecasting 40

Forecasting Enterprise IT Sales 40

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 27, 2018

This article provides a brief explanation of the SVM Classification method of analytics. SVM Classification Analysis can be used for many analytical tasks: Credit/Loan Approval Analysis – Given a list of client transactional attributes, a business can predict whether a client will default on a loan. Use Case – 1.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

CIO Business Intelligence

JULY 28, 2023

Engaged customers are vital to the success of any business. Analytics is central to understanding what works for your customers. Enterprises must tackle the issue of trust head-on. As such, enterprises must continually reassure customers that their data is secure with them and adhere to regulatory compliance practices.

Strategy 97

Strategy Enterprise Forecasting Risk 97

Smarten

APRIL 18, 2019

Data analytics software used to be reserved for data scientists, analysts and IT staff but not today! Talk to any business colleague or pick up any technology analyst article and you will find plenty of discussion about the current use of data analytics tools and impressive predictions about the growth of this market.

Software 51

Software Data Analytics Analytics Forecasting 51

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. Consolidated Inventory & Sales Data — Build an enterprise view of sales and inventory across all channels. Including new data sources like demand signals (e.g.

Forecasting 90

Forecasting Cost-Benefit Sales Unstructured Data 90

Sisense

FEBRUARY 1, 2021

An engineer may focus on PDM functionality, while business managers and executives in BI are more likely focused on an enterprise-level solution. An enterprise software selection team should represent all aspects of business to ensure the company makes a decision that will fit the needs of all stakeholders.

Management 52

Management Analytics Manufacturing Cost-Benefit 52

Jet Global

JULY 21, 2021

Widely recognized in the industry, CALUMO earned top-rankings in the budgeting and planning technology, ease of use, product satisfaction, and additional categories highlighted in the Business Application Research Center’s (BARC) BI & Analytics Survey 21 , the largest annual survey of BI and analytics software users in the industry.

Finance 98

Finance Reporting Marketing Software 98

Jim Harris

MAY 12, 2015

A decade ago the phrase cloud-based analytics would have conjured images of meteorologists basing their weather forecasts on the analysis of data describing cloud formations and atmospheric movements. This is somewhat similar to the data and technology today’s meteorologists rely on for creating accurate weather forecasts.

Analytics 45

Analytics Forecasting Data-driven Measurement 45

Smarten

JUNE 29, 2018

The Naive Bayes classifier assumes that every feature/predictor is independent, which is not always the case, so it is important to understand the type of data you are analyzing before choosing this, or any other, analytical technique. How Can Naïve Bayes Be Used for Enterprise Analysis? About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40

CIO Business Intelligence

MARCH 16, 2022

With competition for skilled IT workers getting tighter, it’s more important than ever for enterprises to be sure they’re spending on recruiting and retaining the right talent. CIO.com India asked IT leaders from different industries about the strategies they use to forecast which skills they will need. Mindset over skillset.

Forecasting 98

Forecasting Machine Learning Technology Enterprise 98

Smarten

JUNE 29, 2018

How Can KNN Classification Help an Enterprise? Credit/Loan Approval Analysis – Given a list of client transactional attributes, the business can predict whether a client will default on a bank loan. KNN Classification analysis can be useful in evaluating many types of data. About Smarten.

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 40

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. Utilizing standard methods, they collect, analyze, and interpret data to provide valuable business information.

Statistics 52

Statistics Data mining Visualization Reporting 52

IBM Big Data Hub

NOVEMBER 2, 2022

Most recently we held an event at the IBM Data and AI Forum in Germany ( available on demand here ) where we shared the latest news in our business analytics portfolio. This suite of solutions helps transform the way clients can access, manage and consume business insights. IBM Planning Analytics as-a-Service on AWS.

Data-driven 62

Data-driven Business Analytics Analytics Forecasting 62

IBM Big Data Hub

SEPTEMBER 30, 2022

That’s where business analytics comes in. What is IBM Business Analytics? IBM is helping clients successfully navigate the age of the unexpected with IBM Business Analytics , an enterprise-grade, trusted, scalable and integrated analytics solution portfolio. The benefits of business analytics.

Business Analytics 52

Business Analytics Analytics Prescriptive Analytics Forecasting 52

Cloudera

FEBRUARY 25, 2021

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. In our current landscape, businesses that have adopted a successful ML strategy are outperforming their competitors by over 9%. The implications of ML on the future of business are clear.

Deep Learning 82

Deep Learning Machine Learning Forecasting Visualization 82

datapine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? 4) How Do BI And BA Apply To Business? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? We already saw earlier this year the benefits of Business Intelligence and Business Analytics.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

FineReport

MAY 18, 2024

Applications in Various Fields In Business , data visualization is used for sales analysis , market forecasting, and performance KPI tracking. In marketing analytics, bar charts are employed to illustrate sales performance across various product categories, providing a clear visual representation of market trends.

Visualization 52

Visualization Interactive Cost-Benefit Dashboards 52

Smarten

JUNE 20, 2018

The business can use this information for forecasting and planning, and to test theories and strategies. For example, the decision to the ARIMA or Holt-Winter time series forecasting method for a particular dataset will depend on the trends and patterns within that dataset.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

Rita Sallam

JULY 22, 2016

And here we are now, past the tipping point of a more than 10 to 11 year transition away from IT-centric reporting platforms to modern BI and analytics platforms that make up much of the new buying in the BI and Analytics market. A modern BI platform supports IT-enabled analytic content development.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

FineReport

AUGUST 11, 2021

With well-designed business dashboards , you will gain lots of benefits to operate your business. Metrics are an important criterion for judging the operation of various departments of an enterprise. Business dashboard highlights various business metrics. Mobile visualization of business dashboard of FineReport.

Dashboards 52

Dashboards Metrics Sales Visualization 52

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. . As data and analytics keep expanding, so do the regulations surrounding customer privacy and rights. .

Insurance 105

Insurance Digital Transformation Risk Data-driven 105

Smarten

JUNE 29, 2018

This article describes the analytical technique of multiple linear regression. Multiple linear regression models are useful in helping an enterprise to consider the impact of multiple independent predictors and variables on a dependent variable, and can be beneficial for forecasting and predicting results. About Smarten.

Business Analysis 40

Business Analysis IT Sales Statistics 40

FineReport

OCTOBER 21, 2019

With business intelligence(BI) tools play a more critical role in the enterprises, the technology is poised for an oversized effect in the coming year. BI software assists businesses with data display and analytics to help companies discover the situations, market challenges, as well as the chance. From Google.

Visualization 91

Visualization Cost-Benefit Dashboards Software 91

datapine

AUGUST 21, 2019

2) Sales Target (Actual Revenue vs Forecasted Revenue). A sales growth chart for perfecting small business analytics and large enterprise alike, looking to scale and remain relevant rather than sporadically making flurries of quick sales. The second in our rundown of sales chart examples hones in on sales targets.

Sales 235

Sales Dashboards KPI Visualization 235

Jet Global

JULY 11, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 72

Business Intelligence Forecasting Data Warehouse Predictive Analytics 72

IBM Big Data Hub

NOVEMBER 30, 2022

They are a technologically motivated enterprise, so it’s no surprise that they would apply this forward-thinking view to their finance reporting as well. IBM Business Analytics delivers efficient management of an incredibly complex supply chain. Providing Jabil with total business analytics throughout their organization.

Reporting 52

Reporting Enterprise Finance Business Analytics 52

IBM Big Data Hub

SEPTEMBER 21, 2022

My journey with IBM Planning Analytics started with an early morning phone call to tell me that a member of my team had died, suddenly and unexpectedly. Our teams relied heavily on his decades of expertise to help us plan and forecast strategically for the future. It’s often hard for leaders to see the value in analytical tools.

Analytics 57

Analytics Forecasting Risk Data-driven 57

CIO Business Intelligence

MARCH 22, 2022

Fractal Analytics has appointed Manish Tiwari as its CIO. Prior to joining Apollo Tyres, he spent 13 years at Unilever, where he managed the IT infrastructure of Unilever’s largest shared support centre and enterprise and technology solutions outsourcing facility in Bangalore. Nitin Mittal joins Zee Entertainment Enterprises.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

Jet Global

OCTOBER 1, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 40

Business Intelligence Forecasting Data Warehouse Predictive Analytics 40

IBM Big Data Hub

OCTOBER 27, 2022

When Newcomp Analytics started working with chocolatier Lindt Canada more than 15 years ago to support their supply chain, Lindt had no full-time IT personnel for analytics. Lindt now has a team of 10, including a business intelligence (BI) manager and BI developer analysts.

Slice and Dice 52

Slice and Dice Analytics Sales Business Intelligence 52

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

BizAcuity

APRIL 14, 2022

Did you know that the big data and business analytics market is valued at $198.08 Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. Competitive Advantages to using Big Data Analytics. Enterprise Big Data Strategy. billion in 2020?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Smarten

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools. Use Case(s): Weather Forecasting, Fraud Analysis and more.

Analytics 40

Analytics Forecasting Statistics Sales 40

AWS Big Data

OCTOBER 11, 2023

The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data. As hospitals generate this data, they can use their organization data or ingest data from other hospitals to derive analytics and competitive comparison.

Visualization 99

Visualization Dashboards Data-driven Gap analysis 99

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157