Smarten

MARCH 7, 2024

While none of these is considered ‘new’ in the market today, the combination of essential components and the leveraging of new technologies and features is key to keeping augmented analytics fresh and usable for the average business user.

Analytics 67

Analytics Predictive Modeling Machine Learning Visualization 67

CIO Business Intelligence

JUNE 7, 2022

Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

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 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. There are a number of tools available on the market, and knowing which one to choose to increase performance can be time-consuming, and often confusing. Let’s get started.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smarten

APRIL 12, 2023

Smarten announces the launch of SnapShot Anomaly Monitoring Alerts for Smarten Augmented Analytics. SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Smarten

NOVEMBER 8, 2022

“By the end of this course, participants will understand the role and value of Citizen Data Scientists and the benefits to the organization, as well as the integration points and cultural shifts that will position analytical professionals and Citizen Data Scientists to work more productively,” Patel says.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

Smarten

JANUARY 31, 2019

Put simply, business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response and discover what is changing in customer buying behavior and in sales.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Smarten

JUNE 10, 2022

Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart! Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions. Assisted Predictive Modeling.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Smarten

APRIL 2, 2019

Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever.

Analytics 40

Analytics Predictive Modeling Visualization Cost-Benefit 40

Sisense

SEPTEMBER 9, 2019

We knew our journey with predictive analytics and sentiment analysis was going to be a gradual progression that would eventually help us understand and better serve our customers. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. Full circle data experience: achieved.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

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

MAY 17, 2024

Early iterations of e-commerce used traditional AI largely to create dynamic marketing campaigns , improve the online shopping experience, or triage customer requests.   Business model expansion Both traditional and generative AI have pivotal and functions that can redefine business models.

B2B 58

B2B Interactive Optimization Forecasting 58

IBM Big Data Hub

FEBRUARY 14, 2024

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. Running on neural networks , computer vision enables systems to extract meaningful information from digital images, videos and other visual inputs.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

Smarten

MAY 9, 2024

Here, we examine the benefits of Augmented Analytics and how to plan and successfully execute an Augmented Analytics initiative.

Optimization 62

Optimization Analytics Marketing Enterprise 62

IBM Big Data Hub

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. An e-commerce conglomeration uses predictive analytics in its recommendation engine.

Machine Learning 59

Machine Learning Data Science Statistics Deep Learning 59

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 Benefit: Once the segments are identified, marketing messages and even products can be customized for each segment.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Sisense

AUGUST 11, 2019

Typically, this involves using statistical analysis and predictive modeling to establish trends, figuring out why things are happening, and making an educated guess about how things will pan out in the future. BA primarily predicts what will happen in the future. What About “Business Intelligence”? Choosing the Right Tech.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

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

NOVEMBER 3, 2017

The concept of Advanced Data Discovery allows business users to leverage advanced analytics and helps the organization to create Citizen Data Scientists. These tools are necessary to business success in today’s market.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 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

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. Use Case – 2.

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? Based on this value, the grocery store manager can decide on its marketing strategies for better sales and increased revenue. Biology – Are foxes in one specific habitat larger than in another?

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

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

FineReport

APRIL 24, 2024

What is Data Visualization Understanding the Concept Data visualization, in simple terms, refers to the presentation of data in a visual format. By utilizing visual elements, data visualization allows individuals to grasp difficult concepts or identify new patterns within the data.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

Jedox

JULY 23, 2019

AI-based machine learning and predictive analytics will start to give us more powerful crystal balls. This is a space that is largely unexplored and represents immense potential for us to understand, interpret, communicate and execute on these predictions. Financial Modeling. Crystal ball.

Technology 52

Technology Forecasting Finance Data-driven 52

Smarten

DECEMBER 3, 2023

Adding augmented analytics to your existing software product provides real value to your customers and improves your competitive positioning in your market.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Smarten

JUNE 29, 2018

Marketing – Have sales increased following a particular campaign? 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 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. Most BI software in the market are self-service.

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

IBM Big Data Hub

DECEMBER 20, 2023

For instance, if data scientists were building a model for tornado forecasting, the input variables might include date, location, temperature, wind flow patterns and more, and the output would be the actual tornado activity recorded for those days. Manage a range of machine learning models with watstonx.ai temperature, salary).

Machine Learning 81

Machine Learning Modeling Deep Learning Predictive Modeling 81

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. To understand the value of this applied technique, let’s consider two business use cases.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

Occam's Razor

NOVEMBER 18, 2014

Like a vast majority on planet Earth, I love data visualizations. Ok, so perhaps as the author of two bestselling books on analytics I love it a little bit more! A day-to-day manifestation of this love is on my Google+ or Facebook profiles where 75% of my posts are related to my quick analysis and learnings from a visualization.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

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. Use Case(s): Weather Forecasting, Fraud Analysis and more.

Analytics 40

Analytics Forecasting Statistics Sales 40