Smart Data Collective

MAY 19, 2021

BI (Business Intelligence) systems exist to solve problems. This is a long and actively developing class of applications, which allow to take all business-relevant parameters and build analytical reports on them independently, instantly, and in any context. When business intelligence is needed?

Business Intelligence 126

Business Intelligence Sales Visualization Reporting 126

datapine

AUGUST 14, 2019

Business intelligence has developed into one of the most powerful solutions for companies that look for smart data analysis, predicting the future, and utilizing business intelligence software for generating actionable insights. Geet our bite-sized free summary and start building your data skills! Source: mathworks.com.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Jet Global

OCTOBER 1, 2019

One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. By using a combination of data, statistical algorithms, and machine learning techniques, predictive analytics identifies the likelihood of future outcomes based on the past.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

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 vs. business analytics.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

IBM Big Data Hub

NOVEMBER 2, 2022

Even more, organizations need the ability to bring data insights to the right users to make faster, more effective business decisions amid unpredictable market changes. Meeting business goals with data insights. This suite of solutions helps transform the way clients can access, manage and consume business insights.

Data-driven 60

Data-driven Business Analytics Analytics Forecasting 60

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. New packaging and integration.

Business Analytics 56

Business Analytics Analytics Recreation/Entertainment Cost-Benefit 56

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

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 127

IT Business Analysis Key Performance Indicator Cost-Benefit 127

Smarten

JUNE 29, 2018

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. What is ARIMAX Forecasting? This method is suitable for forecasting when data is stationary/non stationary, and multivariate with any type of data pattern, i.e., level/trend /seasonality/cyclicity. About Smarten.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

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

datapine

MAY 16, 2019

At its core, restaurant analytics is the concept of analyzing all of the data related to your restaurant business and transforming it into actionable insights with the help of business intelligence software that will ultimately lead to significantly improved efficiency. Why Are Restaurant Analytics Important?

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Smarten

JUNE 27, 2018

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. Weather Forecasting – Based on temperature, humidity, pressure etc. Use Case – 1. About Smarten.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

Jet Global

JULY 21, 2021

Over 28,000 organizations worldwide rely on insightsoftware’s portfolio of best-in-class reporting, analytics, budgeting, forecasting, consolidation, and tax solutions to provide them with increased productivity, visibility, accuracy, and compliance. Visit insightsoftware.com for more information. About CALUMO.

Finance 98

Finance Reporting Marketing Forecasting 98

Jedox

MAY 7, 2021

For organizations already using Microsoft Power BI for their business analytics, implementing a modern planning solution that offers seamless integration with Microsoft 365 maximizes the value and insights from your existing Power BI investment.

Forecasting 69

Forecasting Data-driven Visualization Finance 69

Jen Stirrup

SEPTEMBER 19, 2019

360 Orlando and I’m presenting a workshop on From Business Intelligence to Business Analytics with the Microsoft Data Platform. Data becomes relevant for decision making when we start to use it properly, so this workshop will demonstrate the use of analytics for real-life use cases.

Business Analytics 40

Business Analytics Analytics Statistics Dashboards 40

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 Visualization KPI 235

datapine

FEBRUARY 9, 2024

Another example we can illustrate comes from managing your business’s revenue, which is one of the most important sales KPIs for any business. You need to check where you stand after planning and forecasting your sales targets. Finance: How do we handle the company’s assets?

KPI 221

KPI Management Key Performance Indicator Measurement 221

Smart Data Collective

FEBRUARY 2, 2021

By tracking patients’ health, drug interactions, and forecasting their needs, Big Data helps medical institutions deliver targeted solutions. Moreover, the use of data in talent acquisition helps build more relevant offers, increases retention, and forecast talent demand.

Big Data 106

Big Data Recreation/Entertainment Cost-Benefit Finance 106

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. But how do you get them to share actionable data? Of course, customers are willing to share data in return for better services and products. These require customer data.

Strategy 97

Strategy Enterprise Forecasting Risk 97

Jet Global

JUNE 15, 2020

Founded in 1997, interRel Consulting is the longest-standing partner dedicated solely to implementing Oracle Enterprise Performance Management (EPM) Cloud and Business Intelligence (BI) solutions. interRel is an Oracle Platinum Partner, Cloud Select Partner, and Cloud Excellence Implementer.

Consulting 59

Consulting Dashboards Finance Reporting 59

IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

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 98

Forecasting Machine Learning Technology Enterprise 98

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.

Visualization 91

Visualization Dashboards Cost-Benefit Software 91

Smarten

JUNE 20, 2018

The business can use this information for forecasting and planning, and to test theories and strategies. If a business wishes to produce clear, accurate results, it must choose the algorithm and technique that is the most appropriate for a particular type of data and analysis. About Smarten.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

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? About Smarten.

Analytics 40

Analytics Forecasting Statistics Sales 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

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

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

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

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

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.

Modeling 52

Modeling OLAP Reporting Sales 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 Sales 52

Rita Sallam

JULY 22, 2016

decline in traditional BI ( See: Market Share Analysis: Business Intelligence and Analytics Software, 2015 ). Answer: The primary differences are described in detail in our research, Technology Insight for Modern Business Intelligence and Analytics Platforms and summarized in the table below from the report.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

BizAcuity

APRIL 14, 2022

Did you know that the big data and business analytics market is valued at $198.08 Be it supply chain resilience, staff management, trend identification, budget planning, risk and fraud management, big data increases efficiency by making data-driven predictions and forecasts. Big Data technology in today’s world.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

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. Ramamoorthy has more than 30 years of experience in the BFSI technology space. Nitin Mittal joins Zee Entertainment Enterprises.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

datapine

AUGUST 29, 2022

At 156 pages on Kindle, this is a book you could finish in one (long) sitting if you were so inclined, and that you can also use as an inspiration when you work on your business intelligence strategy. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361