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 63

Business Intelligence Enterprise Dashboards Digital Transformation 63

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

CIO Business Intelligence

JUNE 1, 2022

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. Cloud-connected cars are now commonplace in the mainstream connected car market that is forecast to surpass $166 billion by 2025. billion by 2030. billion by 2030.

Manufacturing 101

Manufacturing Digital Transformation Predictive Analytics Strategy 101

Smart Data Collective

JULY 9, 2021

They can use data analytics to assess the performance of employees in different situations, including traditional workers in-house, remote workers and independent contractors. It also helps with creating a solid hiring model. Data analytics helps companies match the right employees or applicants with the right responsibilities.

Data Analytics 127

Data Analytics Management Analytics Big Data 127

CIO Business Intelligence

FEBRUARY 16, 2023

All they would have to do is just build their model and run with it,” he says. But to augment its various businesses with ML and AI, Iyengar’s team first had to break down data silos within the organization and transform the company’s data operations. For now, it operates under a centralized “hub and spokes” model.

Unstructured Data 102

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 102

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Forecasts are unreliable and quickly become outdated due to rapid changes and complexity of markets.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 94

Technology Finance Cost-Benefit Forecasting 94

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. AI models analyze vast amounts of data quickly and accurately.

B2B 66

B2B Interactive Optimization Forecasting 66

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. Improve Modeling Accuracy.

Big Data 107

Big Data Forecasting Cost-Benefit Machine Learning 107

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 105

Manufacturing Forecasting Internet of Things Risk 105

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

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

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 98

Data-driven Machine Learning Interactive Predictive Analytics 98

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

CIO Business Intelligence

JANUARY 12, 2024

The ascendancy of AI — generative AI in particular Traditional machine learning and artificial intelligence, as well as the hot, new offshoot generative AI, which creates content in response to queries addressed to large language models, are transforming CRM in multiple ways. I get a little bit of a crystal ball.”

Sales 116

Sales Marketing Data-driven Interactive 116

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 73

Machine Learning Manufacturing Cost-Benefit Deep Learning 73

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 47

Machine Learning Technology Digital Transformation Predictive Analytics 47

IBM Big Data Hub

FEBRUARY 14, 2024

Other uses include Netflix offering viewing recommendations powered by models that process data sets collected from viewing history; LinkedIn uses ML to filter items in a newsfeed, making employment recommendations and suggestions on who to connect with; and Spotify uses ML models to generate its song recommendations.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

Cloudera

FEBRUARY 8, 2021

You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. ECC will enrich the data collected and will make it available to be used in analysis and model creation later in the data lifecycle. Reporting – delivering business insight (sales analysis and forecasting, budgeting as examples).

Manufacturing 116

Manufacturing Data Warehouse Sales Predictive Analytics 116

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. They may also suffer from data duplication, which undermines their analytics models.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

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

Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. Decision modeling (one of my favorites). Explore in dialogue decisions and outcomes rather than focus on data and analytics asked for. Try some gamification?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52