AWS Big Data

JULY 8, 2025

Without predictive analytics, preemptive actions remain a challenge in optimizing staffing, reducing mishandled baggage, and enhancing operational efficiency. Predictive analytics used by data scientists involves analyzing historical data to predict future events or behaviors. Subhash Sharma is Sr.

Internet of Things

CIO Business Intelligence

MAY 5, 2025

In the run up to the pandemic, the technology lead for Tractor Supply Company had already cast significant bets on disaster recovery readiness and cutting-edge digital commerce and delivery capabilities, ensuring the retailer was well positioned during and in the aftermath of the COVID period. Download the State of the CIO Research here. ]

Digital Transformation

Cloudera

JANUARY 20, 2021

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. Reporting – delivering business enterprise insight (sales analysis and forecasting, market research, budgeting as examples).

Digital Transformation

bridgei2i

JULY 8, 2020

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 10: COVID-19 | Evolving Trends of Digital Transformation. COVID-19 | Evolving Trends of Digital Transformation. My name is Vignesh, and I help companies succeed in their AI-enabled digital transformation. Listening time: 12 minutes.

Digital Transformation

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

Jedox

JANUARY 29, 2019

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Making AI Real (Part 2).

Predictive Analytics

CIO Business Intelligence

DECEMBER 1, 2022

“Me coming in from the outside and proposing so much change — the associates and midlevel management are the ones that must be empowered and that is the most difficult aspect of any kind of transformation.” One HR employee took some courses in data analytics and found a new job within the company helping to advance digital transformation. “I

Digital Transformation

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

Cloudera

AUGUST 3, 2021

Consider that e-commerce’s acceleration due to the pandemic saw retailers’ digital sales penetration realize 10 years of growth in just the first three months of 2020 alone. . In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Digital Transformation is not without Risk.

Analytics

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

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

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

CIO Business Intelligence

JUNE 7, 2024

-based company, which claims to be the top-ranked supplier of renewable energy sales to corporations, turned to machine learning to help forecast renewable asset output, while establishing an automation framework for streamlining the company’s operations in servicing the renewable energy market. million in its first year, contributed a $5.5

Forecasting

CIO Business Intelligence

OCTOBER 1, 2024

Central to many of these efforts was an emphasis on supply chain analytics , which enabled companies to leverage data for smoother logistics in times of supply scarcity. Dickens predicts the unions will settle and accelerate the industry’s digital transformation. It’s a lose/lose.”

Predictive Analytics

CIO Business Intelligence

APRIL 30, 2024

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. IDC forecast shows that enterprise spending (which includes GenAI software, as well as related infrastructure hardware and IT/business services), is expected to more than double in 2024 and reach $151.1

Forecasting

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

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

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

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

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

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

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

CIO Business Intelligence

JANUARY 30, 2023

The consumer-packaged goods (CPG) industry is somewhat behind other industries in the race to modernize but supply chain bottlenecks and the pandemic’s unprecedented disruption have accelerated their need to digitally transform. Take C&S Wholesale Grocer, for example. But scalability has always been a limiting factor.

Forecasting

CIO Business Intelligence

AUGUST 9, 2024

Building this single source of truth was the only way the airport would have the capacity to augment the data with a digital twin, IoT sensor data, and predictive analytics, he says. Identifying and eliminating Excel flat files alone was very time consuming.

Data Transformation

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

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

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

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

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

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

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

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

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

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

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

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

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