Rocket-Powered Data Science

MARCH 19, 2021

The vast scope of this digital transformation in dynamic business insights discovery from entities, events, and behaviors is on a scale that is almost incomprehensible. Traditional business analytics approaches (on laptops, in the cloud, or with static datasets) will not keep up with this growing tidal wave of dynamic data.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

CIO Business Intelligence

JUNE 1, 2022

Cloud-connected cars are now commonplace in the mainstream connected car market that is forecast to surpass $166 billion by 2025. Meanwhile, the digital twin market is set to grow at a 50% compound annual growth rate, reaching $184.5 Predictive analytics can foretell a breakdown before it happens. billion by 2030.

Manufacturing 119

Manufacturing Digital Transformation Predictive Analytics Strategy 119

FineReport

APRIL 9, 2024

These innovative solutions pave the way for future trends in healthcare, shaping the industry’s digital transformation journey. 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

CIO Business Intelligence

JULY 20, 2023

From 250 such stores in 2021, the study forecasts the number to touch 12,000 by 2027. From big fashion brands to staples and grocery stores, every retailer is looking to apply algorithms to improve the bottom line, especially in the areas of omnichannel retailing, demand forecasting, and predictive analytics.

Technology 75

Technology Forecasting Advertising Machine Learning 75

Smart Data Collective

JULY 9, 2021

Data analytics helps companies match the right employees or applicants with the right responsibilities. There are a lot of challenges that employees face when they try to forecast future staffing needs. Using Data Analytics to Choose the Right Talent Acquisition Model. Data analytics is helping with this change.

Data Analytics 127

Data Analytics Management Analytics Big Data 127

CIO Business Intelligence

FEBRUARY 16, 2023

That is the domain of AI and advanced analytics that serve a role beyond just insight and business optimization. The offensive side is how to generate revenue, all of the insights from the historical data that we have collected and, in fact, forecast the trends that are coming,” Iyengar says.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

Jedox

JUNE 25, 2020

Forecasts are unreliable and quickly become outdated due to rapid changes and complexity of markets. To succeed in the age of Digital Transformation, companies must be able to make fast, data-based decisions. Planning directly in ERP systems quickly gets uncomfortable and functionally limited. Using new technologies and tools.

Technology 93

Technology Finance Cost-Benefit Forecasting 93

Smart Data Collective

SEPTEMBER 13, 2021

This type of big data is used to forecast and for making the right decisions. Investors cannot use it for long-term forecasting and strategizing. Value investors can use this data to forecast how different markets are going to develop and confirm the stability of the assets of the company. Concentrated and Slow.

Big Data 108

Big Data Forecasting Cost-Benefit Machine Learning 108

Jedox

JULY 17, 2018

The digital transformation is redefining the world as we know it at a pace faster than most people could ever imagine. The demand for groundbreaking enterprise technologies leveraging artificial intelligence to enable the digital transformation is high.

Machine Learning 46

Machine Learning Technology Digital Transformation Predictive Analytics 46

Sisense

SEPTEMBER 9, 2019

Mark Hopkins is the Chief Information Officer at Park City, Utah based Skullcandy, leading the global IT, Digital, and Customer Service teams. 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.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

IBM Big Data Hub

FEBRUARY 14, 2024

AIOps is one of the fastest ways to boost ROI from digital transformation investments. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. See what’s ahead AI can assist with forecasting. ML can also conduct algorithmic trading without human intervention.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

Jedox

JULY 31, 2018

Part one of our blog series explored how people are the driving force behind the digital transformation and how it is fueled by artificial intelligence and machine learning. Predictive analytics is one aspect of advanced analytics that will be key in driving efficiency and innovation. Jedox GPU Accelerator.

Technology 43

Technology Prescriptive Analytics Machine Learning Business Intelligence 43

IBM Big Data Hub

JULY 27, 2023

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. Cost control and budgeting : EAM systems provide valuable insights into asset performance as it relates to maintenance costs.

Cost-Benefit 61

Cost-Benefit IoT Internet of Things Enterprise 61

BizAcuity

JUNE 3, 2022

Their seamless digital transformation included having to change the way they operated their stores. Current trends show retailers experimenting with emerging technologies like Predictive Analytics and IoT. From sourcing, production, staff requirement, and strategy are all dependent on demand forecasts.

Data Analytics 59

Data Analytics Analytics Forecasting Predictive Analytics 59

BizAcuity

MARCH 31, 2022

Gaming companies use AI for segmenting players and predicting churn rates in order to retain them through effective campaigns. Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Cloudera

FEBRUARY 3, 2021

This is, in turn, causing a mismatch between demand forecasting and supply replenishment. is the interconnection of all parts of the supply chain to improve demand forecasting and supply replenishment so that the right amount of vaccine is delivered exactly as it is needed. McKinsey defines Supply Chain 4.0 Supply Chain 4.0

Manufacturing 102

Manufacturing Forecasting Internet of Things Risk 102

CIO Business Intelligence

OCTOBER 10, 2022

The company also wanted to improve forecasting accuracy by harnessing the power of intelligent technologies. FHCS integrated its landscape built on SAP ERP and SAP Business Warehouse with specialized forecasting in SAP Integrated Business Planning (IBP). This hampered the company from having an enterprise-wide view.

Enterprise 52

Enterprise Forecasting Descriptive Analytics Digital Transformation 52

CIO Business Intelligence

OCTOBER 4, 2022

Business leaders, recognizing the importance of elevated customer experiences, are looking to the CIO and their IT teams to help harness the power of data, predictive analytics, and cloud resources to create more engaging, seamless experiences for customers. 3 ways CIOs can help the business raise the bar on CX.

Data-driven 111

Data-driven Machine Learning Interactive Predictive Analytics 111

CIO Business Intelligence

JANUARY 12, 2024

With AI, CRM systems can analyze vast amounts of data to deliver predictive analytics on business outcomes. And the interactivity feature of generative AI creates a true digital copilot, enabling humans to “do what they do best, foster conversations, show empathy, and accelerate decision velocity,” says Miller.

Sales 128

Sales Marketing Data-driven Interactive 128

IBM Big Data Hub

JUNE 14, 2023

Smart manufacturing, as part of the digital transformation of Industry 4.0 , deploys a combination of emerging technologies and diagnostic tools (e.g., Using advanced data analytics techniques, predictive analytics can help identify inefficiencies, bottlenecks and quality issues proactively.

Manufacturing 79

Manufacturing Technology Internet of Things Cost-Benefit 79

Jet Global

MARCH 22, 2023

In today’s environment, big data enables organizations to derive insights, forecast trends, and find new efficiencies using flexible and highly customized visual dashboards and reports. Analytics Maturity As your application becomes more successful, your users will want more capabilities.

Analytics 52

Analytics Cost-Benefit Dashboards Visualization 52

Cloudera

FEBRUARY 8, 2021

You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. Reporting – delivering business insight (sales analysis and forecasting, budgeting as examples). This is part 2 in this blog series.

Manufacturing 113

Manufacturing Data Warehouse Sales Predictive Analytics 113

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

OCTOBER 20, 2023

The retail industry is digitally transforming, embracing AI at its core to enable key capabilities across five primary areas: Personalized shopping experiences : AI delivers hyper-localized insights and real-time recommendations.

Machine Learning 79

Machine Learning Manufacturing Cost-Benefit Deep Learning 79

IBM Big Data Hub

JUNE 8, 2023

Companies with a modern data architecture and robust BI adoption not only gain immediate competitive advantage, they are positioned to move even further ahead by adopting real-time decisioning practices and predictive analytics, the next steps in digital transformation.

Business Intelligence 68

Business Intelligence Enterprise Dashboards Digital Transformation 68

Alation

JANUARY 27, 2022

Modern businesses are increasingly leveraging analytics for a range of use cases. Analytics can help a business improve customer relationships, optimize advertising campaigns, develop new products, and much more. As an organization embraces digital transformation , more data is available to inform decisions.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Andrew White

JANUARY 11, 2021

On end user clients calls, are you hearing a greater focus on use cases and greater need for prescriptive analytics, ex marketing analytics, sales analytics, healthcare, etc. Yes, prescriptive and predictive analytics remain very popular with clients. where performance and data quality is imperative?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

NOVEMBER 7, 2023

The need for greater efficiency and more accurate forecasting led CFOs to re-evaluate the tools and processes on hand and their ability to overcome skills shortages and drive agility. Now, as we head into 2024, CFOs continue to seek balance and efficiency through digital transformation.

Finance 52

Finance Uncertainty Reporting Marketing 52