CIO Business Intelligence

DECEMBER 10, 2024

Align data strategies to unlock gen AI value for marketing initiatives Using AI to improve sales metrics is a good starting point for ensuring productivity improvements have near-term financial impact. Successful selling has always been about volume and quality, says Jonathan Lister, COO of Vidyard.

Sales 143

Sales Metrics Data-driven Measurement 143

CIO Business Intelligence

JANUARY 21, 2025

times compared to 2023 but forecasts lower increases over the next two to five years. However, this is only possible if you invest in technology that brings transparency and reliability to AI-performed or AI-assisted data work. AI at Wharton reports enterprises increased their gen AI investments in 2024 by 2.3

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

CIO Business Intelligence

MARCH 19, 2025

However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.

IT 59

IT Data Governance Data-driven Metrics 59

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. QuickSight offers scalable, serverless visualization capabilities.

Data Strategy 79

Data Strategy Strategy Data Warehouse Prescriptive Analytics 79

BizAcuity

NOVEMBER 13, 2024

Business intelligence consulting services offer expertise and guidance to help organizations harness data effectively. Beyond mere data collection, BI consulting helps businesses create a cohesive data strategy that aligns with organizational goals.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

Smart Data Collective

FEBRUARY 20, 2022

One survey published on CIO found that less than a third of companies have reported that big data has buy-in from top executives. If you are running a business that has not yet adapted a data strategy, you should keep reading. You will get a better sense of the reasons that you should make investing in big data a top priority.

Big Data 131

Big Data Management Finance Data-driven 131

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”). Source: [link]

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

CIO Business Intelligence

MARCH 21, 2022

Unfortunately, they have fallen behind when it comes to automation and data integration practices, despite industry-wide recognition of the merits associated with an effective data strategy,” said Wayne Johnson , CEO & Founder of Encompass. Inaccurate forecasts. Lost productivity.

Data-driven 116

Data-driven IT Finance Forecasting 116

Cloudera

JULY 20, 2021

Technology drives the ability to use enterprise data to make choices, decisions and investments – which then produce competitive advantage. Once companies are able to leverage their data they’re then able to fuel machine learning and analytics models, transforming their business by embedding AI into every aspect of their business. .

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

CIO Business Intelligence

MAY 23, 2024

billion in 2022, more than three times that in 2018 [3], while the total global business value derived from AI is forecast to reach $3.9 Not only does this require highly specific, high-demand skill sets, it may also call for specialized IT infrastructure and software tools—not to mention a sound data strategy.

Machine Learning 111

Machine Learning Forecasting Business Intelligence Software 111

Smart Data Collective

JULY 26, 2023

Big data has become an invaluable aspect to most modern businesses. Nevertheless, many companies have been reluctant to Harvard Business Review reports that only 30% of businesses have a data strategy. However, companies with data strategies are far more successful than those without.

Data-driven 97

Data-driven Management Big Data Sales 97

bridgei2i

MAY 27, 2021

PODCAST: Exploring Data, Digital and Artificial Intelligence through a Holistic Lens. Exploring Data, Digital and Artificial Intelligence through a Holistic Lens. In the latest episode of ‘The Data Strategy Show’, host Samir Sharma engages Prithvijit(Jit) Roy and Pritam K Paul, Co-Founders of BRIDGEi2i, in a riveting discussion.

Statistics 98

Statistics Digital Transformation Data Processing Forecasting 98

TDAN

FEBRUARY 16, 2022

The global master data management (MDM) market is estimated to grow from USD 1.6 billion by 2024, with the multi domain MDM solution segment expected to grow at the highest CAGR during this forecast period. Traditional MDM systems are purpose-built for a single type of data or domain. billion in 2019 to USD 3.4

Management 105

Management Forecasting Marketing Data Strategy 105

Smart Data Collective

DECEMBER 22, 2021

Big data technology is one of the most important forms of technology that new startups must use to gain a competitive edge. The success of your startup might depend on your ability to use big data to your full advantage. The right data strategy can help your startup become profitable.

Big Data 145

Big Data Data mining Data-driven Predictive Analytics 145

Smart Data Collective

MARCH 2, 2023

Predictive analytics technology can help companies forecast demand One of the biggest challenges businesses face in any economy is predicting demand for their products or services. More advanced predictive analytics tools consider economic conditions when forecasting customer purchasing patterns.

Big Data 105

Big Data Uncertainty Risk Data mining 105

CIO Business Intelligence

APRIL 4, 2024

To keep up, Redmond formed a steering committee to identify opportunities based on business objectives, and whittled a long list of prospective projects down to about a dozen that range from inventory and supply chain management to sales forecasting. “We Data is the lynchpin to AI success,” says Nafde. Diasio agrees.

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134

TDAN

JUNE 15, 2022

Given that the global big data market is forecast to be valued at $103 billion in 2027, it’s worth noticing. As the amount of data generated […]. “Information is the oil of the 21st century, and analytics is the combustion engine,” says Peter Sondergaard, former Global Head of Research at Gartner. And he has a point.

Data mining 98

Data mining Big Data Forecasting Marketing 98

Sisense

MARCH 24, 2020

Predict: Lastly, look to forecast trends in supply and demand and track fast-moving changes in leading indicators. To foster the art of the possible, below are examples of how regular businesses use analytics to maximize customer revenue, reduce costs, forecast outcomes, and drive efficiency. Create transparency, reduce overhead.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

bridgei2i

APRIL 28, 2020

One real challenge that we’re seeing is the focus on forecasting. Let’s talk about forecasting for a moment. Everybody’s very concerned about forecasting. Most companies will forecast their business based on trends. Are they going to look at, you know, maybe new business models using data?

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

CIO Business Intelligence

APRIL 9, 2025

According to ResearchGate , leaders leveraging quantitative analysis can forecast future trends, optimize operations, improve product offerings and increase customer satisfaction with greater reliability. Data and analytics leaders will need to evolve how they view the role of enterprise analytics in the Age of AI.

Enterprise 52

Enterprise Analytics Experimentation Statistics 52

CIO Business Intelligence

OCTOBER 4, 2022

Embed CX into your data strategy. To tap insights that can help elevate the customer experience, CIOs first need to modernize their approach to managing, accessing, analyzing, and acting on data. Most business and IT leaders understand the value of getting closer to customers. Consider three key areas of focus: 1.

Data-driven 111

Data-driven Machine Learning Interactive Predictive Analytics 111

AWS Big Data

FEBRUARY 1, 2023

This enabled the teams to generate the optimal plan to place purchase orders for devices by analyzing the different datasets in near-real time with appropriate business logic to solve the problems of the supply chain, demand, and forecast. Before the implementation of this system, one dataset took 1 month to onboard.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Cloudera

JANUARY 30, 2024

Demand forecasting: AI can be used to forecast demand for products based on historical data, trends, and external factors such as weather, holidays, seasonality, and market conditions. Trusted AI begins with trusted data What resolves the data challenge and fuels data-driven AI in manufacturing?

Manufacturing 81

Manufacturing Contextual Data IoT Internet of Things 81

CIO Business Intelligence

MARCH 9, 2022

They were, however, using multiple vendor technologies to support the data lake, which led to inefficiencies in the way they analysed their data. The window of the forecasting was 14 days, with 30-minute continuous intervals, right up to four hours before each flight. A change was needed. Martin Hammer.

Data Science 98

Data Science Data Lake Cost-Benefit Digital Transformation 98

CIO Business Intelligence

JANUARY 24, 2024

You have to forecast this to your executive team and continue to remind them of why we’ve chosen this strategy. Put your data strategy in business turns. “When you start building longer-term modular capabilities, it’ll feel slower and more expensive than the way you’ve done it in the past,” she says.

Risk Management 118

Risk Management Risk Management Digital Transformation 118

Smart Data Collective

JANUARY 9, 2023

Machine learning is a particular type of AI-powered software that has the ability to learn from the data it comes into contact with and become more capable of accurately forecasting results and outcomes over time.

Machine Learning 145

Machine Learning Software Strategy Marketing 145

CIO Business Intelligence

APRIL 7, 2023

Most notably, for about 71% of IT leaders, angst about security creates a barrier to adoption, mandating that approaches, infrastructure, data strategies and security be appropriately aligned 3. At the same time, concerns exist.

Enterprise 105

Enterprise Cost-Benefit Modeling Digital Transformation 105

Smart Data Collective

DECEMBER 22, 2021

Data-driven businesses can develop their own infrastructure and handle all of their data management processes in-house. However, there are a lot of third-party big data applications worth investing in. Businesses Must Use the Right Applications to Facilitate their Big Data Strategy in 2022.

Data-driven 123

Data-driven Big Data Cost-Benefit Software 123

IBM Big Data Hub

SEPTEMBER 19, 2023

Through live data analysis and predictive forecasting, AI tools can help employees working in network operations centers and network engineers to mitigate congestion and downtime. As 5G networks continue to expand, the need for intelligent load balancing and traffic shaping will likely grow.

Cost-Benefit 108

Cost-Benefit Optimization Interactive Enterprise 108

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. of organizations report having established a data-driven organization.” ” “Just 26.5%

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

IBM Big Data Hub

SEPTEMBER 19, 2023

Those who work in the field of data science are known as data scientists. 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 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CIO Business Intelligence

SEPTEMBER 14, 2022

technologies that fueled data strategies aimed at identifying inefficiencies, streamlining processes, and improving the ability to forecast and predict industry trends. Sensors, AI, and robotics are key Manufacturing 4.0

Manufacturing 116

Manufacturing IT Software Digital Transformation 116

Sisense

APRIL 6, 2020

Constantinos Mavrommatis is the Chief Data Scientist at RetailZoom , a consultancy that helps supermarkets in Cyprus unlock their data to reveal patterns and forecast future performance. Those armed with a modern data strategy, clear KPIs, and well-modeled dashboards will navigate shifts in the market more smoothly than others.

Analytics 98

Analytics Dashboards KPI Data-driven 98

CIO Business Intelligence

MAY 24, 2023

Hanna Hennig, CIO of Siemens, says she has seen business units start collecting data without knowing what to collect and why. “It If you don’t know what problem you want to solve, then you cannot define your data strategy.” It was always a waste of money,” she says. “If

Data Governance 118

Data Governance Data Quality Data Collection Publishing 118

BizAcuity

MARCH 31, 2022

AI Adoption and Data Strategy. Lack of a solid data strategy. For the first, it is in best interest to do your own research, talk to friends, professionals and approach data services companies like ours. Data strategy allows you to build a roadmap to adopt AI. (Source: PwC). AI in Finance.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

CIO Business Intelligence

JULY 18, 2022

“If you have your data in different tools, based on a private cloud or public cloud, you’re going to run into barriers,” notes Pat Reardon, director, HPE GreenLake ISV ecosystem. Managing those environments separately is inefficient and creates data silos that make it hard to advance a singular data strategy.

Cost-Benefit 96

Cost-Benefit Data Lake Data Warehouse Enterprise 96

IBM Big Data Hub

JANUARY 22, 2024

Embrace change and innovation The data center of the future is ripe for further growth and transformation.

Data-driven 100

Data-driven Forecasting Consulting Marketing 100