CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? In business analytics, this is the purview of business intelligence (BI).

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

OCTOBER 6, 2023

Business analyst job description BAs are responsible for creating new models that support business decisions by working closely with finance and IT teams to establish initiatives and strategies aimed at improving revenue and/or optimizing costs.

IT 128

IT Business Analysis Key Performance Indicator Cost-Benefit 128

Rocket-Powered Data Science

MARCH 19, 2021

The vast scope of this digital transformation in dynamic business insights discovery from entities, events, and behaviors is on a scale that is almost incomprehensible. Traditional business analytics approaches (on laptops, in the cloud, or with static datasets) will not keep up with this growing tidal wave of dynamic data.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Smarten

JUNE 27, 2018

The prediction accuracy is useful criterion for assessing the model performance. Model with prediction accuracy >= 70% is useful. Weather Forecasting – Based on temperature, humidity, pressure etc. How Can SVM Classification Analysis Benefit Business Analytics? Classification Error = 100- Accuracy = 8%.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

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 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

IBM Big Data Hub

OCTOBER 5, 2022

Build planning models to improve supply chain management. You also build planning models to capture relationships and constraints so that you can change your driver assumptions and immediately see the impact on resources and capacity over time. The challenge faced by every company is matching supply with demand.

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

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 90

Forecasting Cost-Benefit Sales Unstructured Data 90

Cloudera

FEBRUARY 25, 2021

AMPs move the starting line for any ML project by enabling data scientists to start with a full end-to-end project developed for a similar use case, including a trained and deployed ML model, as well as prebuilt predictive business applications, out of the box. The work of a machine learning model developer is highly complex.

Deep Learning 81

Deep Learning Machine Learning Forecasting Visualization 81

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

datapine

AUGUST 14, 2019

There are also numerous business intelligence examples that illustrate what kind of value it can bring to the business bottom line. The example above shows us a visual of the drag and drop interface created in datapine for a 6 months forecast based on past and current data. Source: mathworks.com.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

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. “At

Forecasting 98

Forecasting Machine Learning Technology Enterprise 98

Smart Data Collective

FEBRUARY 2, 2021

By tracking patients’ health, drug interactions, and forecasting their needs, Big Data helps medical institutions deliver targeted solutions. Even last year, Big Data had a major role in predicting the pandemic patterns and creating models to contain the spread of the coronavirus.

Big Data 83

Big Data Recreation/Entertainment Cost-Benefit Finance 83

BizAcuity

FEBRUARY 22, 2019

Financial Analytics – An Outlook. In today’s world of competitive businesses, analytics is an essential part of staying competitive especially in this digital era where data is omnipresent. Financial analytics is becoming an important and inherent part of software applications that are being used by event industry.

Analytics 75

Analytics Cost-Benefit Finance Sales 75

Smarten

JUNE 20, 2018

The business can use this information for forecasting and planning, and to test theories and strategies. In prediction, the objective is to “model” all the components to some trend patterns to the point that the only component that remains unexplained is the random component. Stationary/Stationarity.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

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

Smart Data Collective

OCTOBER 31, 2021

There may be several of them: the main audience, which includes people making purchasing decisions; indirect – are related to the influence of the first type on the purchase; broad audience – people who are looking for the product that you offer; narrow audience – looking for a specific product model.

Analytics 107

Analytics Data mining Analytics Technologies Sales 107

Smart Data Collective

NOVEMBER 25, 2019

Predictive Business Analytics. Some of these new tools use AI to predict events more accurately by employing predictive analytics to identify subtle relationships between even seemingly unrelated variables. Instead, they’ll turn to big data technology to help them work through and analyze this data.

Business Intelligence 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

Sisense

FEBRUARY 1, 2021

The CAD component includes product prototypes and models based on actual parts’ manufacturing instructions. This final step unifies the product development in the global enterprise BI model. The analytics edge in PLM functionality. Refinement and debugging are a natural component of PDM. Important benefits of PDM.

Management 52

Management Analytics Manufacturing Cost-Benefit 52

Smarten

JUNE 29, 2018

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

Smarten

JUNE 29, 2018

Weather Forecasting – Based on temperature, humidity, pressure etc., a business can predict the likelihood of fraud. It is useful for making predictions and forecasting data based on historical results. For numerical variable, normal distribution is assumed which is a strong assumption. About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40

Smarten

NOVEMBER 3, 2017

The world of business analytics has changed dramatically in the past few years. If your business is looking to upgrade BI tools or to begin implementing an analytics solution, the solution must be user friendly for business users.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

IBM Big Data Hub

MAY 12, 2022

Specifically, we see an increase of line-of-business areas using planning for “what if” and scenario modelling, determining multiple pathways to success for comparison. They are using AI forecasting and decision optimization algorithms to enable success in a world of finite resources and time.

Business Analytics 57

Business Analytics Analytics Recreation/Entertainment Cost-Benefit 57

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. What’s the difference between Business Analytics and Business Intelligence?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smarten

JUNE 29, 2018

Business Benefit: Given the health and body profile of a patient and the recent treatments and drugs prescribed for the patient, the doctor can predict the probability and make recommendations on changes in treatment/drugs. About Smarten.

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 40

Jet Global

OCTOBER 22, 2020

The world of business analytics is evolving rapidly. The size and scope of business databases have grown as ERP functionality has evolved, businesses have increased their adoption of CRM and marketing automation, and collaboration networks have become more common. OLAP Cubes vs. Tabular Models.

Modeling 52

Modeling OLAP Reporting Sales 52

Rita Sallam

JULY 22, 2016

By contrast, traditional BI platforms are designed to support modular development of IT-produced analytic content, specialized tools and skills, and significant upfront data modeling, coupled with a predefined metadata layer, is required to access their analytic capabilities. Research VP, Business Analytics and Data Science.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

IBM Big Data Hub

OCTOBER 19, 2023

Their business model was very complex, and it required massive data volumes to be processed. According to Chandak, “IBM Planning Analytics significantly simplified tasks by offering comprehensive governance throughout the entire budgeting process and unlocked substantial value for the organization.

Forecasting 103

Forecasting Data-driven Business Analysis Sales 103

IBM Big Data Hub

NOVEMBER 30, 2022

Jabil is a longtime partner and IBM Business Analytics (BA) portfolio user, but before they made the switch to BA almost 15 years ago, they were using excel and spending most of their financial planning time trying to determine which numbers were most true for planning purposes. . Keeping it small, keeping it connected.

Reporting 52

Reporting Enterprise Finance Business Analytics 52

CIO Business Intelligence

MARCH 22, 2022

He is expected to strengthen the company’s cloud solution portfolio, deliver an enhanced cloud experience for customers, and develop industry-specific solutions available on IaaS, PaaS, and SaaS models. He brings in 20 years of experience across sectors including media, broadcasting, data centre, telecom, BFSI, and retail.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

AWS Big Data

OCTOBER 11, 2023

The serverless architecture features auto scaling, high availability, and a pay-as-you-go billing model to increase agility and optimize costs. AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, ML, and application development.

Visualization 96

Visualization Dashboards Data-driven Gap analysis 96

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. Now that we have described predictive and prescriptive analytics in detail, what is there left?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

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

Smarten

JULY 10, 2018

Use Case(s): Weather Forecasting, Fraud Analysis and more. Frequent Pattern Mining (Association): What is Frequent Pattern Mining (Association) and How Does it Support Business Analysis? ARIMAX Forecasting: What is ARIMAX Forecasting and How is it Used for Enterprise Analysis?

Analytics 40

Analytics Forecasting Statistics Sales 40

Sisense

APRIL 6, 2020

Constantinos Mavrommatis is the Chief Data Scientist at RetailZoom , a consultancy that helps supermarkets in Cyprus unlock their data to reveal patterns and forecast future performance. And in a fast-moving environment, keeping an eye on changing circumstances is vital to managing your business through the evolution of the pandemic.

Analytics 98

Analytics Dashboards KPI Data-driven 98

datapine

AUGUST 29, 2022

Boasting inspiring real-world examples and a comprehensive glossary of terms, this data analysis book is a must-read for anyone looking to embark on a lifelong journey toward analytical enlightenment. 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

datapine

NOVEMBER 11, 2021

Predictive analytics is one of the BI systems features that is becoming increasingly more popular as it can play a fundamental role in helping businesses optimize their operations and potential development. As its name suggests, the predictive analytics feature aims to generate forecasts about future performance.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213