Smarten

JUNE 17, 2022

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.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

IBM Big Data Hub

SEPTEMBER 19, 2023

Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes. js and Tableau Data science, data analytics and IBM Practicing data science isn’t without its challenges.

Data Science 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

Smart Data Collective

AUGUST 7, 2019

The main goal of a customer data platform is to make sense of all customer information, create a unified profile and allow marketers to work with the results efficiently. With the role of marketers in mind, a CDP can not only analyze data but also provide additional functionalities such as business intelligence and reporting.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

Smarten

NOVEMBER 8, 2022

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.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

Smarten

OCTOBER 25, 2017

As the concept of business analytics becomes more main stream and business users embrace the possibilities, they (and their managers) want and expect even more tools and more potential. The Next, Even Better Gift: Advanced Data Discovery Tools! Have you ever noticed that when you give someone something, they often want more?

Predictive Modeling 63

Predictive Modeling Statistics Visualization Business Analytics 63

Cloudera

APRIL 27, 2021

If the network data team is sharing the data, great; but does the marketing team charged with upsell understand the network data? But network location patterns (for example) can often be a good predictor of potential upsell – for instance, whether a customer is working from home can be determined from network data. It’s all in the data!

Recreation/Entertainment 66

Recreation/Entertainment Advertising IoT Predictive Modeling 66

datapine

AUGUST 14, 2019

Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights. But being an inquisitive Sherlock Holmes of data is no easy task. Source: mathworks.com.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smarten

JUNE 28, 2018

This type of analysis can be applied to segment customers by purchase history, segment users by the types of activities they perform on websites or applications, to develop consumer profiles based on activities or interests, and to recognize market segments, etc. How Does and Organization Use Hierarchical Clustering to Analyze Data?

IT 40

IT Business Intelligence Predictive Modeling Risk 40

Smarten

JUNE 25, 2018

KMeans Clustering can be applied to segment customers by purchasing history, segment users by the activities they perform on a website, define demographic profiles based on interests, and recognize market patterns. Business Problem: Organizing customers into groups/segments based on similar traits, product preferences and expectations.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Smarten

JUNE 26, 2018

This analytical technique can be used for numerous purposes. Marketing / Market Research – To determine if certain types of products sell better in certain geographic locations than others, and to verify if gender has an influence on purchasing decisions. Use Case – 1. Use Case – 2.

Testing 40

Testing Statistics IT Business Intelligence 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. These tools are necessary to business success in today’s market.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

Smarten

JUNE 27, 2018

Similarly, regression trees can also be used to identify the market segment, identifying who is more likely to respond to a future mailing. The Decision Tree analysis technique is useful in classifying and segmenting markets, types of customers and other categories in order to make decisions on where to focus enterprise resources.

IT 40

IT Business Intelligence Predictive Modeling Statistics 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 29, 2018

Marketing – Does customer segment A spend more on groceries than customer segment B? 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

Smarten

JUNE 29, 2018

Business Problem: A market research agency wants to cluster various survey responders into groups, based on the rank correlation output. If the ranking given by both observers is similar, the organization can put more faith in the ratings than if the observer ranking vary widely from one to the other. Use Case – 2.

Business Analysis 40

Business Analysis IT Measurement Statistics 40

Smarten

JUNE 20, 2018

A basic understanding of the types and uses of trend and pattern analysis is crucial, if an enterprise wishes to take full advantage of these analytical techniques and produce reports and findings that will help the business to achieve its goals and to compete in its market of choice. About Smarten.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

Smarten

DECEMBER 3, 2023

Users can replace guesswork and opinion with fact-based presentations and recommendations for more measurable analysis of trends, product pricing, financial investment, manufacturing and production and all other business factors. Every business needs to understand how these solutions can and will affect users, processes and workflow.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Smarten

JUNE 29, 2018

How is the Paired Sample T Test Beneficial to Business Analysis? Marketing – Have sales increased following a particular campaign? This type of analysis can be useful in numerous situations. Medicine – Has the particular medicine or treatment been effective?

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

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

JANUARY 27, 2023

Smarten has announced the launch of Predictive Model Mark-Up Language (PMML) Integration capability for its Smarten Augmented Analytics suite of products. Simply create the predictive model, using your favorite platform, export the model as a PMML file and import that model to Smarten.

Predictive Modeling 52

Predictive Modeling Analytics Predictive Analytics Business Intelligence 52

DataKitchen

JANUARY 17, 2022

A large pharmaceutical Business Analytics (BA) team struggled to provide timely analytical insight to its business customers. However, the BA team spent most of its time overcoming error-prone data and managing fragile and unreliable analytics pipelines. . The Challenge. Requirements continually change.

Experimentation 130

Experimentation Data Lake Marketing Predictive Modeling 130

Cloudera

NOVEMBER 18, 2020

As the volume of products within OVO’s ecosystem increases, the ability to ensure marketing effectiveness is of the utmost importance, especially in order to minimize any unnecessary marketing spend. With ultra-personalized marketing at the heart of their strategy, OVO built its first contextual offer engine, OVO UnCover.

Internet Publishing and Broadcasting 120

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 120

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

Smarten

JUNE 26, 2018

Cross marketing/Selling – To work with other businesses that complement your business, but not your competitors. For example, vehicle dealerships and manufacturers have cross marketing campaigns with oil and gas companies for obvious reasons. Use Case – 1. Use Case – 2.

Business Intelligence 40

Business Intelligence Sales Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

Cross Marketing and Selling – To work with other businesses that complement your own, not competitors. For example, vehicle dealerships and manufacturers have cross marketing campaigns with oil and gas companies for obvious reasons. Use Case – 1. Use Case – 2.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

Cloudera

NOVEMBER 2, 2020

real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). The factors driving this trend are part technical, part business, and part cultural. cleansing, feature engineering, CDC reconciliation) or for stream analytics (e.g. This could be done for stream processing (e.g.

Data Warehouse 95

Data Warehouse Optimization Dashboards Interactive 95

Smarten

JULY 10, 2018

Frequent Pattern Mining (Association): What is Frequent Pattern Mining (Association) and How Does it Support Business Analysis? Use Case(s): Market Basket Analysis, Frequently Bundled Products and more. Use Case(s): Predicting Loan Default, Predicting Success of Medical Treatment and more.

Analytics 40

Analytics Forecasting Statistics Sales 40

datapine

JANUARY 31, 2022

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. Business intelligence and analytics allow users to know their businesses on a deeper level. Let’s see it with a real-world example.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Smarten

APRIL 19, 2022

Sentiment Analysis can help you solve problems,” says Patel, ‘And it can identify opportunities and improve your brand image and competitive stance in the market.’. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

Slice and Dice 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

Smarten

JULY 26, 2022

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.

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

datapine

NOVEMBER 27, 2019

Share the essential business intelligence trends among your team! 4) Predictive And Prescriptive Analytics Tools. Business analytics of tomorrow is focused on the future and tries to answer the questions: what will happen? Share the essential business intelligence trends among your team!

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

Depict Data Studio

SEPTEMBER 17, 2019

Select a Software Program , I’ll provide an overview of my favorite software programs so you can understand the strengths and weaknesses of the major players in the market. . Select a Software Program. Declutter , I’ll give you permission to delete? of unnecessary ink!

Visualization 40

Visualization Consulting Dashboards Reporting 40

Smarten

JUNE 21, 2018

Because the results are smoothed, and the user can select the best option for the TYPE of data to be analyzed, the enterprise can avoid assigning too much weight or importance to older data that may no longer be as valid because of changing buying behaviors, market competition or other factors. 3) Triple Exponential Smoothing Use Case.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Jet Global

MAY 9, 2024

Machine Learning Pipelines : These pipelines support the entire lifecycle of a machine learning model, including data ingestion , data preprocessing, model training, evaluation, and deployment. Analyzing historical transaction data in financial reporting can help identify market trends and investment opportunities.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52