Smart Data Collective

MAY 19, 2021

Business likes specifics. If there are sales, the management needs to know exactly how much product was sold today, how much last month, how much more or less compared to last year. BI (Business Intelligence) systems exist to solve problems. When business intelligence is needed?

Business Intelligence 126

Business Intelligence Sales Visualization Reporting 126

CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. The discipline is a key facet of the business analyst role. Business analytics techniques.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Smart Data Collective

NOVEMBER 28, 2022

While emphasizing data analytics has become the standard for the business community as a whole, smaller teams are often the exception. With a better understanding of what the advantages analytics bring, small business owners are finally getting started with business intelligence. Consolidating Information.

Business Analytics 122

Business Analytics Analytics Business Intelligence Sales 122

Smart Data Collective

JUNE 16, 2022

However, the rapid technology change, the increasing demand for user-centric processes and the adoption of blockchain & IoT have all positioned business analytics (BA) as an integral component in an enterprise CoE. They are using analytics to help drive business growth. appeared first on SmartData Collective.

Business Analytics 135

Business Analytics Analytics Forecasting Business Analysis 135

datapine

MAY 27, 2020

In recent years, analytical reporting has evolved into one of the world’s most important business intelligence components, compelling companies to adapt their strategies based on powerful data-driven insights. How To Write An Analytical Report? Sales: How to exceed targets next year? Primary KPIs: Sales Growth.

Reporting 245

Reporting Analytics Dashboards Sales 245

Jen Stirrup

JANUARY 2, 2020

I conducted a workshop in Florida recently, aimed at helping people to move from Business Intelligence to Analytics. I have added some guidelines for using Power BI with marketing and sales data. Overview of Analytics for Marketing. Part 2 – Overview of Analytics for Marketing.

Business Intelligence 75

Business Intelligence Analytics Sales Big Data 75

Jet Global

JULY 11, 2019

Although it’s been around for decades, predictive analytics is becoming more and more mainstream, with growing volumes of data and readily accessible software ripe for transforming. In this blog post, we are going to cover the role of business intelligence in demand forecasting, an area of predictive analytics focused on customer demand.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

datapine

OCTOBER 7, 2020

But let’s start with the basics of business operations, and provide foundations for analyzing your own metrics and KPIs while focusing on industry and company department-specific examples that a business can use for its own development. Retail: Sales by Region. Sales: Lead-to-Opportunity Ratio.

KPI 269

KPI Metrics Sales Visualization 269

datapine

FEBRUARY 17, 2023

That said, to efficiently harness the insights readily available at their fingertips and convert them into initiatives that set them apart from their competitors, companies must leverage superior analytical tools, resources, and platforms. Enter embedded analytics and white label business intelligence.

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

datapine

JULY 24, 2019

What is one strategic business intelligence (BI) mechanism that is absolutely necessary in the digital age? Thanks to specific business intelligence best practices for dashboard design. It is the by-product of both human and financial capital investment and takes the form of strategic business intelligence.

Dashboards 148

Dashboards Business Intelligence Visualization KPI 148

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

Jet Global

JANUARY 17, 2019

In today’s data-driven world, business intelligence (BI) and analytics play a huge role in better understanding your customers, improving your operations, and making actionable business decisions. Take a look at the data you need to use in order to get any value from business intelligence and analytics.

Business Intelligence 75

Business Intelligence Management Data Warehouse Data Governance 75

Smart Data Collective

MARCH 25, 2021

Business reporting has been around for a long time but the tools and techniques of business intelligence have refined over time and now with the recent popularity of data driven business approach, data has been identified as the most valuable asset of a business and data analytics and reporting has finally found a key place in the business world.

Data-driven 130

Data-driven Analytics Business Intelligence Dashboards 130

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. In doing so, they are putting their data to work to better meet their business objectives.

Data-driven 60

Data-driven Business Analytics Analytics Forecasting 60

datapine

FEBRUARY 9, 2024

For those who want to experiment with less-explored, off-the-beaten-track KPIs, there are two standard practices for evaluation that can help businesses determine whether those particular performance indicators will be effective: the “SMARTER” criteria and the “Six A’s.” Sales: Where do we stand regarding our targets?

KPI 221

KPI Management Key Performance Indicator Measurement 221

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

IBM Big Data Hub

MAY 12, 2022

The company faced a large gap between their sales plan and their production plan during the pandemic. “We The company used a combination of IBM Planning Analytics and Business Intelligence capabilities. A successful solution must be designed to remove barriers on among disparate analytics tools.

Business Analytics 56

Business Analytics Analytics Recreation/Entertainment Cost-Benefit 56

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

Jet Global

OCTOBER 1, 2019

Although it’s been around for decades, predictive analytics is becoming more and more mainstream, with growing volumes of data and readily accessible software ripe for transforming. In this blog post, we are going to cover the role of business intelligence in demand forecasting, an area of predictive analytics focused on customer demand.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

Smart Data Collective

NOVEMBER 18, 2021

Big data and business intelligence are essential. The shopping experience is everything to B2B sales – especially since the buying cycle is longer. It is a vital to any company that wants to succeed in all but the least competitive markets. However, the success of a big data strategy relies on its implementation.

Data Strategy 138

Data Strategy B2B Strategy Big Data 138

FineReport

APRIL 11, 2023

In today’s fast-paced business environment, making informed decisions based on accurate and up-to-date information is crucial for achieving success. With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments.

Dashboards 40

Dashboards Business Intelligence Metrics Cost-Benefit 40

datapine

APRIL 14, 2022

When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs. 8) The MagicBand.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

Smart Data Collective

DECEMBER 10, 2020

The following are three ways AI can help small businesses succeed. AI Helps Small Businesses Stay Ahead of the Competition. Small businesses are using AI at an increasing rate to become better engaged with their customers. This increases sales and profit margins. AI Can Be Used to Train a Sales Team.

Sales 124

Sales Interactive Advertising Visualization 124

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

Smart Data Collective

JULY 23, 2023

Data can feel like an inaccessible word for small businesses. You want to use business intelligence effectively, but you feel that you don’t have the resources at your disposal to do so. This is a particularly valuable asset for businesses that are selling directly to consumers.

Analytics 98

Analytics Advertising Business Intelligence Risk 98

Smart Data Collective

MAY 4, 2021

It’s important to get your customer base right – after all, targeting the wrong audience could mean that although you have an amazing product or service to offer, it simply won’t get the interest and sales that it deserves because you are advertising to the wrong people.

Advertising 142

Advertising Marketing Data Collection Data Analytics 142

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 Analytics 52

Birst BI

JANUARY 16, 2018

When you hear the words “artificial intelligence,” (AI) what’s the first thing you think of: robots doing backflips , Alexa , medical diagnostic innovations or something else? If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind.

Data-driven 70

Data-driven Analytics Dashboards Machine Learning 70

IBM Big Data Hub

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. For more than 10 years, the publisher has used IBM Cognos Analytics to wrangle its internal and external operational reporting needs.

Publishing 50

Publishing Analytics Business Intelligence Operational Reporting 50

Smarten

JUNE 29, 2018

Business Problem: An eCommerce company wants to measure the impact of product price on product sales. The dependent variable is product sales data for last year. Business Benefit: The product sales manager can identify the amount and direction of product price impact on product sales. Use Case – 2.

Enterprise 40

Enterprise Statistics Sales Business Intelligence 40

Smarten

JUNE 29, 2018

Business Problem: An ecommerce company wants to measure the impact of product price, product promotions, and holiday seasonality on product sales. The dependent variable is product sales data. For the predictors with the most impact, the team can make important strategic decisions to meet product sales targets.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Sisense

JULY 6, 2020

Analytics and data are changing every facet of our world. In The State of BI & Analytics , we expand on our original research, keeping you ahead of the curve on the world of analytics, data, and business intelligence. The current global pandemic has united us all and challenges the way we do business.

Data-driven 81

Data-driven Uncertainty Reporting Predictive Analytics 81

Smarten

JUNE 26, 2018

Business Problem: A pharmaceutical company wants to predict the sales of a drug for the next two months, based on drug sales data from the past 12 months. Business Benefit: The business can make use of these forecasts for better planning of drug production and accuracy of sales targets. About Smarten.

Forecasting 40

Forecasting Enterprise IT Sales 40

Smarten

JUNE 26, 2018

Frequent pattern mining (previously known as Association) is an analytical algorithm that is used by businesses and, is accessible in some self-serve business intelligence solutions. Business Benefit: The darker segments reveal the ideal methods of product bundling and placement to increase cross-sales.

Business Intelligence 40

Business Intelligence Sales 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. Businesses need a single source of truth.

Modeling 52

Modeling OLAP Reporting Sales 52

Smarten

JUNE 29, 2018

For example, sale of ice cream and the sale of cold drinks are related to weather conditions. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Enterprise 40

Enterprise Statistics IT Business Intelligence 40

Smarten

JUNE 29, 2018

How is the Paired Sample T Test Beneficial to Business Analysis? Marketing – Have sales increased following a particular campaign? Business Problem: A grocery store sales manager wants to know whether daily sales have increased after an advertising campaign. Here the dependent variable would be ‘Daily sales’.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40