Smarten

NOVEMBER 6, 2018

This video looks at a scenario where data on workforce comprising of education, years with the organisation, number of wholesale stockiest managed by the individual, CAGR in sales for individual and value of sales is analysed to determine which factor impacts the sales and to what extent. More criteria can be added to this model.

Sales 40

Sales Predictive Modeling Modeling Strategy 40

Smarten

APRIL 10, 2023

Investment in predictive analytics benefits everyone in the organization, including business users and team members, data scientists and the organization in general. Instead, they can use assisted predictive modeling to improve business agility and align processes, activities and tasks with business objectives and goals.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

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. Casinos have to continuously work on the game mix such that they are able to generate ROI while managing player win expectations.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

CIO Business Intelligence

OCTOBER 5, 2023

Over time, using machine learning and AI, CBRE has managed to reduce manual lease processing times by 25% and cut positive false alarms in managed commercial facilities by 65%. Let’s start with the models. For AI, the high-value quadrant is where you’ll find most predictive modeling.

Experimentation 129

Experimentation Strategy Machine Learning Interactive 129

CIO Business Intelligence

DECEMBER 11, 2023

Now, it’s time to pay for it, and that’s putting a spotlight squarely on the chief financial officer (CFO), who has increasingly become the gatekeeper deciding which projects get funded and how significantly AI will play a role in enterprise strategy. For the CFOs at the center of that transformation, the stakes are higher than ever.

Finance 104

Finance Forecasting IoT Predictive Modeling 104

Smarten

SEPTEMBER 28, 2022

Gartner has predicted that, ‘Overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ Predictive analytics uses sophisticated analytical methodologies to predict future outcomes based on historical data. Maintenance Management. Crime Type Prediction.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

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 80

Predictive Analytics Sales Enterprise Predictive Modeling 80

IBM Big Data Hub

MAY 18, 2023

” The new Forrester Wave™ report details how IBM compares with other vendors in the AI-decisioning landscape based on current offering, strategy and market presence scores. IBM named a Leader We at IBM continue to be excited about the intersection of decision automation with AI, which is also referred to as decision intelligence.

Reporting 91

Reporting Scorecard Predictive Modeling Machine Learning 91

IBM Big Data Hub

JUNE 29, 2023

This is why asset reliability is such a critical component of business strategy. In order to take a proactive approach to asset reliability, maintenance managers rely on two widely used metrics: mean time between failure, (MTBF) and mean time to repair (MTTR). Before we dive into it, let’s take a look at some relevant terms.

Cost-Benefit 84

Cost-Benefit Measurement Management Predictive Analytics 84

Smart Data Collective

SEPTEMBER 17, 2020

Financial institutions such as banks have to adhere to such a practice, especially when laying the foundation for back-test trading strategies. There is significant competition in the industry, and emerging tactics and strategies must be accepted to survive the market competition. The Role of Big Data. Perks Associated with Big Data.

Big Data 142

Big Data Finance Risk Management Risk 142

IBM Big Data Hub

AUGUST 22, 2023

Digital twins and integrated data For the presentation layer, you can leverage various capabilities, such as 3D modeling, augmented reality and various predictive model-based health scores and criticality indices. Asset performance management.

Unstructured Data 77

Unstructured Data Consulting Visualization IoT 77

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. Experience building strategies like these have been  used by online retailers for years.

B2B 67

B2B Interactive Optimization Forecasting 67

CIO Business Intelligence

AUGUST 7, 2023

Like most of his peers, Barrios increasingly sees change management leadership as a cornerstone of the CIO agenda. Foundry / State of the CIO That distinct view, coupled with ongoing pressure to accelerate digital business brought on by pandemic-era changes and economic uncertainties , have launched CIOs into the change management hot seat.

IT 96

IT Sales Manufacturing Cost-Benefit 96

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. In the past, data scientists had to rely on powerful computers to manage large volumes of data.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. In 2017, additional regulation targeted much smaller financial institutions in the U.S.

Risk 111

Risk Modeling IT Risk Management 111

DataRobot

NOVEMBER 24, 2021

Whatever its requirements, applying data-driven AI strategies can help. To meet these needs, it turned to AI, running the DataRobot AI Cloud on AWS instead of following its previously backbreaking, manual model-building process. Prediction accuracy improved from less than 80 percent to 87.5 Reduce its operational costs?

Cost-Benefit 98

Cost-Benefit ROI Data-driven Predictive Modeling 98

IBM Big Data Hub

SEPTEMBER 19, 2023

It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications. 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.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management. These innovative solutions pave the way for future trends in healthcare, shaping the industry’s digital transformation journey.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Smart Data Collective

AUGUST 7, 2019

One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. As such, organizations today rely on a suite of tools to manage the collection, aggregation, analysis and, to a certain extent, the interpretation of data.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

CIO Business Intelligence

OCTOBER 13, 2023

Here are the top 11 roles companies are currently hiring for, or have plans to hire for, to directly address their emerging gen AI strategies. A chief AI officer is responsible for overseeing AI strategy development by navigating and overseeing the development and implementation of AI in the business.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

IBM Big Data Hub

MAY 6, 2024

In this chapter of the IBM series on clinical trial innovation, we spotlight key strategies for boosting recruitment speed, helping to ensure diversity, and harnessing digital advancements. It’s crucial to evaluate the feasibility of trials and refine protocols using evidence-based strategies.

Advertising 69

Advertising Data-driven Optimization Strategy 69

CIO Business Intelligence

JULY 28, 2022

And machine learning engineers are being hired to design and build automated predictive models. I think it is very important because the algorithms this team is writing are helping our business to predict likely outcomes and make better decisions. For the rest [of our analytics team], our strategy is to upskill.

Data Science 143

Data Science IT Machine Learning Data-driven 143

Smarten

MAY 13, 2019

Self-serve, assisted predictive modeling and predictive analytics can help you to identify the customers who are most likely to leave and allow you to develop processes and strategies, as well as new marketing, new products and services, and other strategies that will improve customer retention and reduce customer churn.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Advertising 51

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth.

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56

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

Your senior execs and managers want to leverage data and information to gain a competitive advantage and succeed. Predictive Modeling to support business needs, forecast, and test theories. Real Time and Cached Cube Management. Assisted Predictive Modeling. Business Intelligence. Dashboards.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

DataRobot

JUNE 4, 2021

Although the DataRobot platform makes leading edge AI technology available to customers, often the most bang-for-the-buck strategy for improving model accuracy is not necessarily to focus on the shiny new algorithm. Here, we have a model that predicts foot traffic for a chain of coffee shops.

Forecasting 52

Forecasting Machine Learning Predictive Modeling Modeling 52

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. Tableau’s AI tool, Einstein, can analyze data faster, plucking out useful insights while creating high-quality predictive models.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

O'Reilly on Data

DECEMBER 12, 2019

This article is meant to be a short, relatively technical primer on what model debugging is, what you should know about it, and the basics of how to debug models in practice. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Smarten

JUNE 8, 2022

Whether you have recently been nominated to become a Citizen Data Scientist or you are considering the value of this type of transition for your business, managers and team members alike often ask exactly what a Citizen Data Scientist can do. Think of What Citizen Data Scientists Can Do to Help Your Business!

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

Sisense

MARCH 24, 2020

Use analytics to correlate and compare your operations, performance management, and financial analysis. Predict: Lastly, look to forecast trends in supply and demand and track fast-moving changes in leading indicators. Automate, track, and predict positive outcomes. Create transparency, reduce overhead. Insights over instinct.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

CDW Research Hub

JULY 17, 2019

After using our predictive models and machine learning to review the data, the organization confidently introduced job sharing, remote jobs, hoteling space and parking consolidation, resulting in improved employee morale by offering more flexible options and a savings of $6 million annually to the company.

Predictive Modeling 44

Predictive Modeling Machine Learning Sales Modeling 44

IBM Big Data Hub

JULY 5, 2023

Asset lifecycle management (ALM) is a data-driven approach that many companies use to care for their assets, maximize their efficiency and increase their profitability. But where do you start and how do you know which ALM strategy is right for you? What is asset lifecycle management (ALM)? The four stages of ALM 1.

Strategy 55

Strategy Management IoT Cost-Benefit 55

Cloudera

DECEMBER 9, 2020

Entrants in this award category are so important to recognize because of how they tie every piece of their data strategy together. And in so doing, enrich the organization and secure, report, serve and predict on all the data they have access to. . CDP enables Globe Telecom to ingest massive volumes of data in real-time.

Predictive Modeling 69

Predictive Modeling Data Warehouse Enterprise Data Strategy 69

Ontotext

MAY 25, 2023

In Healthcare and Life Sciences, knowledge graphs have several use cases, such as personalized search, recommendations, clinical decision support, drug discovery and prediction models. In addition, the use of knowledge graphs is expected to drive innovation in Biomedical AI in the 21st century.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

BizAcuity

MARCH 18, 2019

The consumer lending business is centered on the notion of managing the risk of borrower default. Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk.

Predictive Analytics 83

Predictive Analytics Analytics Cost-Benefit Data mining 83

Smarten

FEBRUARY 17, 2022

Where many businesses fail in implementing the Citizen Data Scientist initiative, it is typical to find that the business has simply decided to deploy the strategy without much planning or culture change. But acknowledging the reality and enabling that reality within the walls of an enterprise are two very different things.

Predictive Modeling 76

Predictive Modeling Digital Transformation Enterprise Data Science 76