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

Smart Data Collective

JUNE 8, 2023

Sports leagues and teams are using analytics to estimate turn out at various sporting events, predict the performance of individual athletes, identify ways that athletes can improve their performance and improve marketing strategies. We have mentioned that golf players have used data analytics to improve performance.

Data Analytics 82

Data Analytics Analytics Data Collection Statistics 82

datapine

MARCH 15, 2019

At present, 53% of businesses are in the process of adopting big data analytics as part of their core business strategy – and it’s no coincidence. A recent study suggests that the use of predictive analytics in business can result in an ROI of up to 25%.

Technology 143

Technology Cost-Benefit KPI Dashboards 143

BizAcuity

AUGUST 26, 2019

The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. Thus arrives the need for casinos to adopt such new strategies and approaches towards business to stay ahead.

Prescriptive Analytics 74

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 74

Cloudera

JANUARY 14, 2021

They are armed with more knowledge than ever before, as a result, four strategic pillars have emerged that have resulted as leading retailers and brands have deployed a data-centric strategy enabling a customer-first approach.

Cost-Benefit 69

Cost-Benefit Digital Transformation Sales IoT 69

Sisense

JULY 6, 2020

Sisense recently surveyed 500 companies to understand how they leverage data and analytics usage and the impact on future plans; the results reinforce how critical analytics are to businesses during times of crisis. Analytics are essential in a crisis. This can be disorienting but also empowering.

Data-driven 81

Data-driven Uncertainty Reporting Analytics 81

BizAcuity

AUGUST 26, 2019

The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. Thus arrives the need for casinos to adopt such new strategies and approaches towards business to stay ahead.

Prescriptive Analytics 40

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 40

Smarten

JUNE 26, 2018

Business Problem: A research agency wants to predict the likelihood of each election candidate being voted on by each voter and in turn devise a strategy to take proactive steps. Let’s look at two use cases: Use Case – 1.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 25, 2018

Business Benefit: The business marketing team can focus on risky customer segments in an efficient way in order to avoid losing those customers. Sales team segments that are facing challenges based on any current discounting strategy can be identified and a deal negotiation strategy can be improved and optimized.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Smarten

JUNE 29, 2018

Business Benefit: By analyzing the various combinations of predictor variables, the business can forecast product growth, trends, patterns and seasonality, if any.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Smarten

JUNE 29, 2018

For instance, if promotions and holiday seasons are significant factors, these factors should be given more focus when devising a marketing strategy. Business Problem: An agriculture production firm wants to predict the impact of the amount of rainfall, humidity, and temperature on the yield of particular crop.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

JUNE 20, 2018

The business can use this information for forecasting and planning, and to test theories and strategies. In this article, we will focus on the identification and exploration of data patterns and the trends that data reveals. Linear Trend. A linear pattern is a continuous decrease or increase in numbers over time.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

Smarten

JUNE 27, 2018

In this example, the segments that have a response rate higher than the overall response rate can be targeted first since they will require less effort to convert to a purchase, whereas a different marketing strategy must be devised for the lower segments (segments that have a response rate less than the overall rate).

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

Here, the dependent variable would be ‘Purchase Amount’ Business Benefit: Once the test is completed, a p-value is generated which indicates whether there is a statistical difference between the purchase amounts of both segments.

Testing 40

Testing Statistics IT Business Intelligence 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

JANUARY 6, 2022

Predictive analysis: As its name suggests, the predictive analysis method aims to predict future developments by analyzing historical and current data. This helps businesses to develop responsive, practical business strategies. One of the most popular ones is the use of BI dashboards.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

MAY 16, 2019

Here, we will look at restaurant data analytics, restaurant predictive analytics, analytics software for restaurants, and the specific ways that big data can help boost your business prospects across the board. Why Are Restaurant Analytics Important? The Role Of Predictive Analytics In Restaurants.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

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 11, 2021

Additionally, these tools will save your company a lot of money on implementing wrong strategies that are not backed by data, optimize your service to increase revenues, and find profitable opportunities. 17 Top Features Of Business Intelligence Tools. f) Predictive analytics.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

Grooper

AUGUST 19, 2019

Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. Applied Analytics. Business Analytics.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

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. This is predictive power discovery. They are sentinel, precursor, and cognitive analytics.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Smarten

JUNE 26, 2018

Business Problem: A retail store manager wants to conduct Market Basket analysis to come up with better strategy of products placement and product bundling. Business Benefit: The darker segments reveal the ideal methods of product bundling and placement to increase cross-sales. Use Case – 1.

Business Intelligence 40

Business Intelligence Sales Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

To understand the value of this applied technique, let’s consider two business use cases. Business Problem: A retail store manager wants to conduct Market Basket analysis to come up with a better strategy of product placement and product bundling. Use Case – 1.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

datapine

JANUARY 31, 2022

Experience the power of Business Intelligence with our 14-days free trial! Driving performance and revenue is one of the relevant benefits of business analytics. A great way to illustrate the operational benefits of business intelligence. 5) Find improvement opportunities through predictions.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

datapine

NOVEMBER 27, 2019

But the BI landscape is evolving and the future of business intelligence is played now, with emerging trends to keep an eye on. In 2020, BI tools and strategies will become increasingly customized. Source: Business Application Research Center *. Share the essential business intelligence trends among your team!

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

JUNE 21, 2018

Business Problem : Insurance claim manager wants to forecast policy sales for next month based on past 12 months data. Business Benefit : If projected claims are lower than expected then proper marketing strategy can be devised to improve sales. Data Pattern : Input data exhibits level and strong upward trend but no seasonality.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40