IBM Big Data Hub

APRIL 1, 2024

Stacking strong data management, predictive analytics and GenAI is foundational to taking your product organization to the next level. For example, if a customer undergoes a major business change such as an acquisition, predictive models trained on previous transactions can analyze the potential need for new products.

Predictive Analytics 82

Predictive Analytics Sales Enterprise Predictive Modeling 82

Smarten

DECEMBER 5, 2022

Sample business use cases that relate to a team member role or responsibility, or an illustration of an analytical technique can allay user fears about the complexity of augmented analytics or about the real value of integrating an augmented analytics solution into the day-to-day workflow.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Testing 52

CIO Business Intelligence

JANUARY 19, 2024

The exam covers everything from fundamental to advanced data science concepts such as big data best practices, business strategies for data, building cross-organizational support, machine learning, natural language processing, scholastic modeling, and more. and SAS Text Analytics, Time Series, Experimentation, and Optimization.

Data Science 122

Data Science Machine Learning Predictive Modeling Experimentation 122

Smart Data Collective

JULY 24, 2023

Predictive analytics, driven by AI, can provide detailed insights into vendor behavior, helping businesses anticipate issues before they occur. With predictive analytics, businesses can gain a better understanding of their vendors’ performance and reliability, helping them make more informed decisions.

Management 86

Management Cost-Benefit Data-driven Predictive Analytics 86

BizAcuity

APRIL 25, 2022

Casinos would do well to think through their marketing strategies, to support growth, differentiate themselves from competitors, and strengthen their relationship with patrons and members. Casino Marketing strategy is digital. To start with, a fundamental digital casino marketing strategy encompasses: Website and Mobile.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

Smarten

JULY 23, 2019

What is Predictive Analytics and How Can it Help My Business? What is predictive analytics? Put simply, predictive analytics is a method used to forecast and predict the future results and needs of an organization using historical data and a comprehensive set of data from across and outside the enterprise.

Modeling 63

Modeling Predictive Analytics Predictive Modeling IT 63

Smarten

NOVEMBER 6, 2018

This would allow an organisation to plan a workforce strategy for sales development. More criteria can be added to this model. You can find other educational resources by browsing our Augmented Analytics Videos and Augmented Analytics Learning pages.

Sales 40

Sales Predictive Modeling Modeling Strategy 40

Rocket-Powered Data Science

OCTOBER 6, 2023

Using the same statistical terminology, the conditional probability P(Y|X) (the probability of Y occurring, given the presence of precondition X) is an expression of predictive analytics. By exploring and analyzing the business data, analysts and data scientists can search for and uncover such predictive relationships.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

CIO Business Intelligence

OCTOBER 4, 2022

By Bryan Kirschner, Vice President, Strategy at DataStax. They identified two architectural elements for processing and delivering data: the “data platform,” which covers the sourcing, ingestion, and storage of data sets, and the “machine learning (ML) system,” which trains and productizes predictive models using input data.

Machine Learning 97

Machine Learning Data Architecture Uncertainty Data-driven 97

IBM Big Data Hub

SEPTEMBER 19, 2023

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

FineReport

APRIL 21, 2024

Defining Business Intelligence and SaaS Business Intelligence (BI) encompasses the technologies and strategies used for data analysis and decision-making within organizations. Furthermore, these tools support advanced functionality such as predictive analytics and intelligent data alerts. What Are SaaS BI Tools?

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

Smarten

JUNE 8, 2022

What follows is a short list of sample use cases that leverage predictive analytics. These examples will help the reader to better understand how business users can leverage augmented analytics to perform tasks, refine results and make fact-based decisions on a daily basis.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

IBM Big Data Hub

JUNE 29, 2023

This is why asset reliability is such a critical component of business strategy. Preventive and predictive maintenance Both preventive and predictive maintenance are maintenance strategies used by business leaders to increase asset reliability. Before we dive into it, let’s take a look at some relevant terms.

Cost-Benefit 84

Cost-Benefit Measurement Management Predictive Analytics 84

FineReport

APRIL 9, 2024

The implementation of robust healthcare data management strategies is imperative to mitigate the risks associated with data breaches and non-compliance. The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Smarten

MAY 13, 2019

The good news is that a business can more readily and effectively anticipate fraud by identifying the signs and signals that indicate a problem and creating strategies and processes to monitor and manage risk so that the incidence of fraud is significantly decreased. Predictive Analytics Using External Data. Customer Targeting.

Predictive Analytics 11

Predictive Analytics Analytics Predictive Modeling Risk 11

Smarten

JUNE 22, 2022

Technology research and consulting firm, Gartner, predicts that, ‘By 2023, data literacy will become an explicit and necessary driver of business value, demonstrated by its formal inclusion in over 80% of data and analytics strategies and change management programs.’. Benefits of Embedded BI.

Slice and Dice 76

Slice and Dice Digital Transformation Business Intelligence Predictive Modeling 76

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. connecting data sources and predicting future outcomes.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smarten

DECEMBER 13, 2022

As businesses plan for data democratization, it is important to include a strategy to ensure that business users will accept augmented analytics solutions and adapt to the new Citizen Data Scientist role. So, how does your business ensure that adoption of analytics will be successful?

Cost-Benefit 52

Cost-Benefit B2B Optimization Predictive Modeling 52

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.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

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

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Your marketing strategy is only as good as your ability to deliver measurable results. Machine Learning and Predictive Modeling of Customer Churn.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Smarten

JUNE 10, 2022

Predictive Modeling to support business needs, forecast, and test theories. Embedded BI to allow users to sign in to familiar enterprise apps and leverage APIs to integrate analytics within that application for intuitive use. Assisted Predictive Modeling. Business Intelligence. Dashboards.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Smarten

AUGUST 22, 2023

As technology consulting and research firms report the advantages and benefits of enterprise-wide analytics, businesses small and large are likely to add data democratization and analytics to strategies and operational goals.

Enterprise 52

Enterprise Predictive Analytics Consulting Strategy 52

FineReport

APRIL 24, 2024

This understanding empowers them to make well-informed choices based on a comprehensive comprehension of the presented information, ultimately leading to more effective strategies and outcomes. This foresight empowers organizations to proactively prepare for upcoming shifts or developments based on credible analytical forecasts.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

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”?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

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

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. Business Benefit: The business marketing team can focus on risky customer segments in an efficient way in order to avoid losing those customers.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Smarten

JUNE 29, 2018

The enterprise can also identify any gap between the targeted and estimated growth and develop an appropriate strategy to reduce this gap in order to achieve targets and results. 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. Use Case – 2.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

JUNE 21, 2018

Business Benefit : If projected claims are lower than expected then proper marketing strategy can be devised to improve sales. Tools such as Smarten Plug n’ Play predictive analysis provide assisted predictive modeling capabilities. Data Pattern : Input data exhibits level and strong upward trend but no seasonality.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

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. Let’s look at a few use cases, where the FP Growth method of Frequent Pattern Mining can be used to benefit the organization. Use Case – 1.

Business Intelligence 40

Business Intelligence Sales Predictive Modeling Statistics 40

Smarten

JUNE 20, 2018

The business can use this information for forecasting and planning, and to test theories and strategies. 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.

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

Based on this value, the grocery store manager can decide on its marketing strategies for better sales and increased revenue. 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.

Testing 40

Testing Statistics IT Business Intelligence 40

IBM Big Data Hub

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

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. To understand the value of this applied technique, let’s consider two business use cases. Use Case – 1.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

Birst BI

AUGUST 23, 2018

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1]

Machine Learning 73

Machine Learning Data Science Testing Metrics 73