Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

Smart Data Collective

AUGUST 22, 2022

We have talked about the many different sectors that have been shaped by big data in recent years. The bedrock of today’s advertising methods and a requirement for delivering personalized experiences is data-driven marketing. Using data-driven marketing can connect you to customers. It is marketing’s future.

Data-driven 90

Data-driven Marketing Advertising Big Data 90

IBM Big Data Hub

FEBRUARY 19, 2024

The pandemic and its aftermath highlighted the importance of having a robust supply chain strategy , with many companies facing disruptions due to shortages in raw materials and fluctuations in customer demand. Here’s how companies are using different strategies to address supply chain management and meet their business goals.

Strategy 86

Strategy Management Forecasting Cost-Benefit 86

Smart Data Collective

JULY 20, 2022

Data-driven decision-making has become a major element of modern business. A growing number of businesses use big data technology to optimize efficiency. However, companies that have a formal data strategy are still in the minority. Furthermore, only 13% of companies are actually delivering on their data strategy.

Data-driven 122

Data-driven Optimization Big Data Data Strategy 122

Smart Data Collective

NOVEMBER 22, 2022

For example, many bitcoin investors are finding creative ways to use AI to improve their trading strategies. What Are Some Ways that You Can Use AI in Your Bitcoin Trading Strategy? There are a number of ways that you can use AI technology to improve your bitcoin investing strategy. Use AI to Automate Your Trading Strategy.

Risk 123

Risk Predictive Analytics Data-driven Marketing 123

Smart Data Collective

AUGUST 22, 2023

While there are many ways that organizations can bolster their digital defenses and help protect their networks and the information they hold, taking a data-driven approach is critical in our rapidly advancing world. Here is the crucial role of data in cybersecurity.

Data-driven 68

Data-driven Big Data Measurement Strategy 68

Smart Data Collective

JANUARY 10, 2023

More small businesses are leveraging big data technology these days. One of the many reasons that they use big data is to improve their SEO. Data-driven SEO is going to be even more important as the economy continues to stagnate. Data-driven SEO will be one of the most important ways that they can achieve these goals.

Data-driven 102

Data-driven Data mining Big Data Optimization 102

CIO Business Intelligence

JANUARY 22, 2024

As enterprises become more data-driven, the old computing adage garbage in, garbage out (GIGO) has never been truer. The application of AI to many business processes will only accelerate the need to ensure the veracity and timeliness of the data used, whether generated internally or sourced externally.

Data Strategy 123

Data Strategy Strategy Data-driven Enterprise 123

Smart Data Collective

JANUARY 31, 2023

Big data technology has unquestionably been a gamechanger for businesses. Data-driven businesses are 58% more likely to meet revenue goals than companies that do not use big data. However, there is a dark side to using big data technology. It is also increases security risks.

Data-driven 88

Data-driven Big Data Software Measurement 88

Cloudera

JUNE 13, 2023

In 2021, ANZ Bank unveiled its strategy to drive digital transformation, increase their speed to market and become more agile. The EBD platform supports more than 10 internal and customer-facing groups with their Data Operations and Data Discovery requirements.

Data-driven 77

Data-driven Analytics Insurance Digital Transformation 77

Smart Data Collective

AUGUST 11, 2021

Big data has become fundamentally important to the future of cybersecurity. A growing number of companies using data analytics, artificial intelligence and other forms of big data technology to bolster their defenses against cyberattacks. AI and Big Data Are Crucial to Cybersecurity in the Medical Field.

Data-driven 131

Data-driven Big Data Manufacturing Software 131

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Smart Data Collective

SEPTEMBER 8, 2021

More and more businesses and organizations treat data as an essential asset. The importance of managing and leveraging data cannot be overestimated. The problem is that data can easily take enormous proportions. Thus, finding and isolating relevant data is a daunting task. AI-Powered Tools Can Speed Up Data Analytics.

Data-driven 127

Data-driven Data Analytics Analytics Marketing 127

CIO Business Intelligence

JUNE 9, 2023

Such is the case with a data management strategy. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. For many organizations, the real challenge is quantifying the ROI benefits of data management in terms of dollars and cents.

Strategy 107

Strategy Management Key Performance Indicator ROI 107

IBM Big Data Hub

SEPTEMBER 6, 2023

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. The journey starts with sound data.

Marketing 119

Marketing Strategy B2B Cost-Benefit 119

Smart Data Collective

JULY 28, 2021

This is largely due to the benefits of using data analytics to improve automation in merchandise distribution. As a retailer or manufacturer selling via e-commerce platforms, you already know the importance of using big data to improve automation. This wouldn’t be possible without massive advances in big data technology.

Data-driven 134

Data-driven Big Data Manufacturing ROI 134

Smart Data Collective

JUNE 27, 2022

Data-driven businesses are far more successful than companies that don’t utilize data to their advantage. Unfortunately, they often find that managing their data effectively can be a challenge. Companies that rely on big data need a reliable IT department. Build A Clear Strategy.

Data-driven 107

Data-driven Management IT Big Data 107

erwin

JULY 22, 2020

Fostering organizational support for a data-driven culture might require a change in the organization’s culture. Recently, I co-hosted a webinar with our client E.ON , a global energy company that reinvented how it conducts business from branding to customer engagement – with data as the conduit. As an example, E.ON

Data-driven 136

Data-driven Data Governance Digital Transformation Enterprise 136

bridgei2i

OCTOBER 29, 2020

Case study: Building a Data-driven Collection Channel Allocation Optimization Strategy for an NBFC. Using its accelerator Optimizer, BRIDGEi2i helped them do better Customer Risk Profiling and prioritize case-level allocation. Learn how the right AI strategy can take your business to its pinnacle. Business Context.

Data-driven 52

Data-driven Optimization Strategy Risk 52

CIO Business Intelligence

JULY 31, 2023

They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies. Here’s a rundown of the top 20 issues shaping gen AI strategies today. says CIOs should apply agile processes to their gen AI strategy.

Strategy 95

Strategy Risk Enterprise Risk Management 95

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Smart Data Collective

FEBRUARY 24, 2022

Big data has made the field of cybersecurity a lot more complicated. On the one hand, many cybersecurity professionals are using big data technology to fortify their defenses and more easily respond to cybersecurity threats. They are using big data to orchestrate more viscous attacks than ever before.

Data-driven 97

Data-driven Big Data Risk Software 97

Smart Data Collective

NOVEMBER 29, 2021

We have endlessly discussed the benefits of using big data to make the most out of your marketing strategies. Companies that neglect to use data analytics, AI and other forms of big data technology risk falling behind to their competitors. Data Technology Makes Email Marketing Automation Far More Feasible.

Data-driven 106

Data-driven Marketing Big Data Sales 106

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. However, there are a lot of other benefits of big data that have not gotten as much attention. Global companies spent over $92.5 Here’s why.

Data-driven 102

Data-driven Cost-Benefit Data mining Big Data 102

Smart Data Collective

SEPTEMBER 21, 2021

Retailers around the world are discovering that big data can be incredibly valuable to their bottom lines. A growing number of businesses are starting to look for new data-driven approaches to streamline their business models. Targeting the Right Variables for Your Data-Driven Retail Business Model.

Data-driven 106

Data-driven Metrics Sales Big Data 106

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. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses.

Risk 111

Risk Modeling IT Risk Management 111

Cloudera

AUGUST 30, 2022

Data-fuelled innovation requires a pragmatic strategy. This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. For example, providers can start by including more real-time data streams that can enhance customer interactions.

Strategy 102

Strategy Data Strategy ROI Cost-Benefit 102

Smart Data Collective

SEPTEMBER 4, 2020

Big data is becoming increasingly important in business decision-making. The market for data analytics applications and solutions is expected to reach $105 billion by 2027. However, big data technology is only a viable tool for business decision-making if it is utilized appropriately. Guide to Creating a Big Data Strategy.

Data-driven 87

Data-driven Big Data Metrics Strategy 87

CIO Business Intelligence

OCTOBER 16, 2023

Two significant changes have prompted a reassessment: first, business transformation projects necessitate comprehensive process evaluations, so the two domains can’t be viewed separately anymore; second, the growing emphasis on security has highlighted the substantial risks of using outdated, unmonitored technology.

Manufacturing 131

Manufacturing Strategy Cost-Benefit IoT 131

CIO Business Intelligence

MARCH 9, 2022

Today’s cloud strategies revolve around two distinct poles: the “lift and shift” approach, in which applications and associated data are moved to the cloud without being redesigned; and the “cloud-first” approach, in which applications are developed or redesigned specifically for the cloud.

Strategy 144

Strategy Consulting Risk Testing 144

Smart Data Collective

MAY 13, 2022

There are many reasons big data has become a double-edged sword for businesses. Many companies are using data analytics to monitor their employee productivity and other behavior. It can be even more beneficial than using big data for recruiting. This is an area where big data can help immensely.

Data-driven 107

Data-driven Big Data Software Data Analytics 107

CIO Business Intelligence

DECEMBER 13, 2022

Recently, chief information officers, chief data officers, and other leaders got together to discuss how data analytics programs can help organizations achieve transformation, as well as how to measure that value contribution. Supply and consumption are symbiotic principles that together maximize the value of the enterprise data asset.

Data Analytics 95

Data Analytics Strategy Analytics Metrics 95

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 91

Strategy Data Architecture Cost-Benefit Reporting 91

erwin

MAY 31, 2019

It’s time to consider data-driven enterprise architecture. The traditional approach to enterprise architecture – the analysis, design, planning and implementation of IT capabilities for the successful execution of enterprise strategy – seems to be missing something … data. That’s right.

Data-driven 104

Data-driven Enterprise Metadata Strategy 104

Smart Data Collective

DECEMBER 17, 2020

Big data is disrupting the healthcare sector in incredible ways. The market for data solutions in healthcare is expected to be worth $67.8 While stories about the sudden growth of big data in healthcare make for great headlines, they don’t always delve into the details. EHR Solutions Are Predicated on Big Data Technology.

Data-driven 115

Data-driven Big Data Software Risk 115

Smart Data Collective

NOVEMBER 18, 2021

Big data is no longer a luxury for businesses. In the information, there are companies with big data strategies and those that fall behind. Big data and business intelligence are essential. However, the success of a big data strategy relies on its implementation. This is where big data comes into play.

Data Strategy 125

Data Strategy B2B Strategy Big Data 125

CIO Business Intelligence

FEBRUARY 9, 2024

Like many other professional sports leagues, the NFL has been at the leading edge of data-driven transformation for years. Digital Athlete is a platform that leverages AI and machine learning (ML) to predict from plays and body positions which players are at the highest risk of injury.

Recreation/Entertainment 130

Recreation/Entertainment Data-driven Risk Digital Transformation 130