IBM Big Data Hub

SEPTEMBER 19, 2023

Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics. The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

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.

Statistics 52

Statistics Data mining Visualization Reporting 52

Cloudera

JANUARY 5, 2021

Streaming or real-time data from on-vehicle sensors, shelf, or point of sale are leveraged along with historical archives of consumer purchase behavior or inventory stock levels. Consolidated Inventory & Sales Data — Build an enterprise view of sales and inventory across all channels.

Forecasting 90

Forecasting Cost-Benefit Sales Unstructured Data 90

Smarten

APRIL 5, 2019

It gets you started by connecting the data, using assisted predictive analytics, smart visualization, and analytics. A dataset with sales data and macroeconomic data is built in this session and predictive analytics applied to these. Download and Evaluate Smarten Augmented Analytics !

Analytics 40

Analytics KPI Predictive Analytics Dashboards 40

Analytics Vidhya

APRIL 17, 2023

It learns from previously existing data to detect any […] The post Why Businesses Should Use Machine Learning in 2023 appeared first on Analytics Vidhya. Introduction In the words of Nick Bostrom, “Machine learning is the last invention that humanity will ever need to make.”

Machine Learning 258

Machine Learning Analytics Sales Predictive Analytics 258

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 Sales Statistics 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 29, 2020

That’s where data and analytics are vital: They can help you make the right decisions to shape your organization’s future, both near- and long-term. Sisense analytics became a critical tool to enable such a pivot. Komet Sales is a tech platform for the floral industry. The COVID-19 pandemic — When pivots must outpace evolution.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

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

Cloudera

JANUARY 14, 2021

For merchants, the ability to capture shelf, rack, table, and bin inventory levels allows them to prevent out-of-stocks (lost sales), monitor merchandising (display, pricing, promo, POG), meet compliance initiatives, and share these new insights with trading partners they may have.

Cost-Benefit 68

Cost-Benefit Digital Transformation Sales IoT 68

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 IT Statistics Business Intelligence 40

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

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

Smarten

JUNE 25, 2018

Business Problem: Discount Analysis and Customer Retention will help the organization to target discounts to specific customers and the business will need to visualize ‘segments of sales group based on discount behavior’ and ‘customer churn to identify segments of customers on the verge of leaving’.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 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

Smarten

JUNE 29, 2018

Business Problem: A Grocery store sales manager wants to know whether customer segment A spends more on groceries than customer segment B. Based on this value, the grocery store manager can decide on its marketing strategies for better sales and increased revenue. Use Case – 2.

Testing 40

Testing Statistics IT Business Intelligence 40

Smarten

JUNE 29, 2018

ARIMAX provides forecasted values of the target variables for user-specified time periods to clearly illustrate results for planning, production, sales and other factors. About Smarten.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Sisense

AUGUST 19, 2020

Big data, analytics, cloud computing, data mining, data science — the buzzwords of the modern data and analytics industry — have taken every business and organization by storm, no matter the scale or nature of the business.

Big Data 52

Big Data Machine Learning Digital Transformation Marketing 52

datapine

JANUARY 6, 2022

For example, if you want to predict your sales for next month you can use regression analysis to understand what factors will affect them such as products on sale, the launch of a new campaign, among many others. They give you the freedom to easily look up or compare individual values while also displaying grand totals.

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

FEBRUARY 17, 2023

A report from Logi Analytics found that 83% of respondents don’t like to switch between standalone analytics apps and would rather use just one. Moreover, 93% of people within applications teams are currently using embedded business analytics. So, what makes embedded business intelligence software such a hot topic?

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

Birst BI

JANUARY 16, 2018

Instead of needing to understand how the data is structured, how to find it, and how to assemble it in the tool, a user will just speak or type, “Show me sales in North America for this quarter compared to the same quarter last year, as a bar chart.” And the answer will be presented.

Data-driven 70

Data-driven Analytics Dashboards Machine Learning 70

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 Predictive Analytics Data Warehouse 72

datapine

NOVEMBER 11, 2021

These AI-based algorithms not only make businesses ’ life’s easier by removing the pains of manually checking data but also help them stay ahead of potential issues that could affect performance in the long run. f) Predictive analytics. Take the sales dashboard below as an example. click to enlarge**. click to enlarge**.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

datapine

AUGUST 29, 2022

7) Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by Eric Siegel. Best for: someone who has heard a lot of buzz about predictive analytics, but doesn’t have a firm grasp on the subject. – Eric Siegel, author, and founder of Predictive Analytics World.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

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 Predictive Analytics Data Warehouse 40

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

Grooper

AUGUST 19, 2019

Applied analytics Business analytics Machine learning and data science. Applied Analytics. Applied analytics is all about building a business analytics portfolio of actionable insights which directly affect and improve business processes. Business Analytics. Primary keys.

Analytics 54

Analytics Machine Learning Data-driven Data Science 54

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.

Analytics 40

Analytics Forecasting Statistics Sales 40

Smarten

JUNE 26, 2018

Business Benefit: The darker segments reveal the ideal methods of product bundling and placement to increase cross-sales. Based on the association rules generated, the store manager can strategically place the products together or in sequence leading to growth in sales and in turn revenue of the store.

Business Intelligence 40

Business Intelligence Sales Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

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. Each customer is represented as a transaction, containing the ordered set of products, and which products are likely to be purchased simultaneously/sequentially can then be predicted.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

datapine

JANUARY 31, 2022

That is precious insight for the sales team who can look into the data in real-time and understand what the leverages beneath it are. A simple example is: if there are many low-cost seats still available for an upcoming game, the sales team can send a customized email offer to local students. The results?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

datapine

NOVEMBER 27, 2019

However, businesses today want to go further and predictive analytics is another trend to be closely monitored. Another increasing factor in the future of business intelligence is testing AI in a duel. Share the essential business intelligence trends among your team! 4) Predictive And Prescriptive Analytics Tools.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

JUNE 25, 2018

Business Problem: Find out the average age and income for a particular type of product category purchased. Business Benefit: By identifying mean/median income of this segment, one can target marketing to this segment in order to improve ROI and sales revenue. Be sure to choose the right method for the type of data.

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40

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. 3) Triple Exponential Smoothing Use Case.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Jet Global

JUNE 22, 2023

BI and analytics are both umbrella terms referring to a type of data insight software. Many providers use them interchangeably, but some use them in conjunction, claiming to offer both business intelligence and business analytics. One school of thought distinguishes BI and business analytics along these past/future lines.

Analytics 52

Analytics Business Intelligence Reporting Sales 52