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.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Smart Data Collective

APRIL 3, 2022

More companies than ever are investing in big data. However, many feel that their data strategies are not proving to be effective. According to a report by VentureBeat, only 13% of companies feel that their data strategies are providing the results they are looking for.

Data Strategy 96

Data Strategy Strategy Data-driven Big Data 96

Alation

MARCH 1, 2023

To learn the answer, we sat down with Karla Kirton , Data Architect at Blockdaemon, a blockchain company, to discuss data strategy , decentralization, and how implementing Alation has supported them. What is your data strategy and how did you begin to implement it? Here’s a recap of our discussion.

Data Strategy 52

Data Strategy Strategy Metadata Interactive 52

IBM Big Data Hub

APRIL 25, 2023

To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures. Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy. The rise of cloud object storage has driven the cost of data storage down.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

CIO Business Intelligence

FEBRUARY 14, 2023

Kubernetes can align a real-time AI execution strategy for microservices, data, and machine learning models, as it adds dynamic scaling to all of these things. However, a data execution strategy has to evolve for real-time AI to scale with speed. Kubernetes is a key tool to help do away with the siloed mindset.

Data Strategy 113

Data Strategy Strategy Machine Learning Data-driven 113

CIO Business Intelligence

APRIL 5, 2023

Stewart Bond, IDC ’s vice president for data integration and intelligence software, will dissect this foundational element and how it drives strategy as well as answer audience questions about governance, ownership, security, privacy, and more. Want to know how top-performing companies are approaching aspects of cloud strategy?

Strategy 88

Strategy Data Strategy Digital Transformation Data-driven 88

IBM Big Data Hub

JUNE 21, 2022

When it comes to selecting an architecture that complements and enhances your data strategy, a data fabric has become an increasingly hot topic among data leaders. This architectural approach unlocks business value by simplifying data access and facilitating self-service data consumption at scale. .

Data Strategy 52

Data Strategy Strategy Data-driven Enterprise 52

Smart Data Collective

OCTOBER 20, 2020

However, the benefits of big data can only be realized if data sets are properly organized. Database Management Practices for a Sound Big Data Strategy. It is difficult for businesses to not consider the countless benefits of big data. So, how can you leverage the value of big data? Improve Security.

Big Data 99

Big Data Data Strategy Strategy Cost-Benefit 99

Cloudera

MARCH 28, 2024

But, even with the backdrop of an AI-dominated future, many organizations still find themselves struggling with everything from managing data volumes and complexity to security concerns to rapidly proliferating data silos and governance challenges. The benefits are clear, and there’s plenty of potential that comes with AI adoption.

Data Architecture 92

Data Architecture Strategy Data Lake Data-driven 92

Cloudera

MARCH 25, 2021

Will the data privacy controls ultimately help create an enterprise approach to data? Data lies at the heart of knowing the customer and enabling a better customer experience. Risk management can be optimized by the improved use of data and analytics to run models, account for more variables and scrutinize probable outcomes.

Data Strategy 65

Data Strategy Strategy Enterprise Insurance 65

Smart Data Collective

JULY 20, 2022

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. Only 32% of executives have officially laid out a data strategy to drive their organization. How Can You Use Lean Thinking with Big Data?

Data-driven 123

Data-driven Optimization Big Data Data Strategy 123

Smart Data Collective

NOVEMBER 24, 2020

Big data is central to the success of modern marketing strategies. Today, more than ever, companies need to find more innovative ways to leverage data analytics to create a competitive edge in an everchanging landscape. One of the most important, yet overlooked, benefits of data is with scheduling. Set a limit.

Marketing 102

Marketing Optimization Strategy Big Data 102

IBM Big Data Hub

DECEMBER 20, 2023

Without an AI strategy, organizations risk missing out on the benefits AI can offer. An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. What is an AI strategy? A successful AI strategy should act as a roadmap for this plan.

Strategy 74

Strategy Business Objectives Cost-Benefit Consulting 74

Smart Data Collective

SEPTEMBER 29, 2022

A growing number of companies have leveraged big data to cut costs, improve customer engagement, have better compliance rates and earn solid brand reputations. The benefits of big data cannot be overstated. One study by Think With Google shows that marketing leaders are 130% as likely to have a documented data strategy.

Data-driven 135

Data-driven Data Quality Optimization Insurance 135

Alation

OCTOBER 5, 2021

Answers will differ widely depending upon a business’ industry and strategy for growth. The first step towards a successful data governance strategy is setting appropriate goals and milestones. Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Smart Data Collective

SEPTEMBER 12, 2019

You can use big data to get higher conversion rates with any digital marketing medium, including email marketing. This figure can be a lot higher if you use big data to properly optimize your campaigns. The Growing Importance of Big Data in Email Marketing. Here are some ways big data is enabling email marketers.

Big Data 69

Big Data Marketing Data Strategy Strategy 69

Smart Data Collective

JANUARY 27, 2022

More businesses than ever are transitioning to data-driven business models. Research has shown that companies with big data strategies are 19 times more likely to become profitable. Unfortunately, some businesses have made poor decisions when instituting a data strategy. In the world of IT, change is constant.

Optimization 105

Optimization IT Big Data Cost-Benefit 105

BI-Survey

DECEMBER 22, 2020

Managers see data as relevant in the context of digitalization, but often think of data-related problems as minor details that have little strategic importance. Thus, it is taken for granted that companies should have a data strategy. But what is the scope of an effective strategy and who is affected by it?

Data-driven 52

Data-driven Data Strategy Strategy Enterprise 52

Smart Data Collective

JUNE 29, 2022

A growing number of marketers are exploring the benefits of big data as they strive to improve their branding and outreach strategies. Email marketing is one of the disciplines that has been heavily touched by big data. How to Use Data to Improve Your Email Marketing Strategy. Always Provide Value.

B2B 106

B2B Data-driven Marketing Strategy 106

Cloudera

APRIL 18, 2024

Artificial intelligence (AI) is something that, by its very nature, can be surrounded by a sea of skepticism but also excitement and optimism when it comes to harnessing its power. All of that technology, though, depends on data to be successful. Here are a couple of the biggest takeaways we had from our time at the event.

Analytics 108

Analytics Metadata Data Strategy Optimization 108

Ontotext

JANUARY 29, 2024

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. Without this, organizations will continue to pay a “bad data tax” as AI/ML models will struggle to get past a proof of concept and ultimately fail to deliver on the hype.

Strategy 52

Strategy Management Metadata Data-driven 52

CIO Business Intelligence

AUGUST 1, 2022

Without an overall strategy for modernization, companies risk mismanaging their edge-to-cloud data efforts, either overprovisioning, which incurs unnecessary costs, or underprovisioning, which impedes their ability to fully deliver for customers or hit key business goals.

Strategy 94

Strategy Cost-Benefit Risk Management 94

AWS Big Data

MARCH 28, 2024

To optimize the reconciliation process, these users require high performance transformation with the ability to scale on demand, as well as the ability to process variable file sizes ranging from as low as a few MBs to more than 100 GB. For optimal parallelization, the step concurrency is set at 10, allowing 10 steps to run concurrently.

Optimization 81

Optimization IT Big Data Data Processing 81

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Strategy 117

Strategy Data Science Marketing Unstructured Data 117

IBM Big Data Hub

JANUARY 5, 2023

Because your data architecture dictates how your data assets and data management resources are structured, it plays a critical role in how effective your organization is at performing these tasks. Meaning, data architecture is a foundational element of your business strategy for higher data quality.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

TDAN

JANUARY 31, 2023

Data inventory optimization is about efficiently solving the right problem. In this column, we will return to the idea of lean manufacturing and explore the critical area of inventory management on the factory floor.

Optimization 87

Optimization Manufacturing Management Metadata 87

IBM Big Data Hub

AUGUST 7, 2023

Tackling complexities in clinical trial site selection: A playground for a new technology and AI operating model Enrollment strategists and site performance analysts are responsible for constructing and prioritizing robust end-to-end enrollment strategies tailored to specific trials. To do so they require data, which is in no shortage.

Optimization 57

Optimization Forecasting Data-driven Strategy 57

IBM Big Data Hub

JANUARY 24, 2024

With the seismic shift wrought by generative AI, the pressure is on IT to modernize and optimize to meet the demand. There are times, though, when organizations prefer to keep certain applications and data in their own data center—security and compliance requirements or control of sensitive data for example.

Strategy 62

Strategy Data Processing Optimization Software 62

AWS Big Data

JULY 13, 2023

This allows for transparency, speed to action, and collaboration across the group while enabling the platform team to evangelize the use of data: Altron engaged with AWS to seek advice on their data strategy and cloud modernization to bring their vision to fruition.

Optimization 92

Optimization B2B Data Quality Sales 92

Cloudera

OCTOBER 19, 2022

Telco organizations are leveraging the broad-based integrated data that they have access to, to train highly accurate AI models executing across the business, from predictive maintenance and intelligent anomaly detection on the network, to preemptive customer support and lifetime value optimization. The post Public or On-Prem?

Optimization 78

Optimization Data Architecture Data Governance Digital Transformation 78

CIO Business Intelligence

APRIL 11, 2022

With the focus shifting to distributed data strategies, the traditional centralized approach can and should be reimagined and transformed to become a central pillar of the modern IT data estate. Reinterpreting the centralized strategy. over last year. In many cases, this created a mostly unusable swamp.

Optimization 52

Optimization Data Lake Data Strategy Internet of Things 52

TDAN

APRIL 5, 2022

Even pre-pandemic, Amazon was an ecommerce giant like no other. You could find practically anything on the platform and have it delivered straight to your door. Cut to a nearly-post-pandemic reality, and Amazon has become bigger and more competitive than ever.

Sales 98

Sales Optimization IT Data Strategy 98

IBM Big Data Hub

MAY 6, 2024

Data and Analytics —Determine the current-state realities of data readiness and develop an optimized data and analytics strategy to support and utilize the move to SAP S/4HANA. Security and Controls— Define the security and controls architecture after reviewing the current maturity levels.

Cost-Benefit 69

Cost-Benefit Strategy Enterprise Modeling 69

AWS Big Data

FEBRUARY 1, 2023

This introduces the need for both polling and pushing the data to access and analyze in near-real time. This introduces the need for both polling and pushing the data to access and analyze in near-real time. We also used AWS Lambda for data processing. The data is partitioned on InputDataSetName, Year, Month, and Date.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Cloudera

JANUARY 30, 2024

As we navigate the fourth and fifth industrial revolution, AI technologies are catalyzing a paradigm shift in how products are designed, produced, and optimized. But with this data — along with some context about the business and process — manufacturers can leverage AI as a key building block to develop and enhance operations.

Manufacturing 79

Manufacturing Contextual Data IoT Digital Transformation 79

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 Deep Learning 167

Rocket-Powered Data Science

OCTOBER 16, 2020

Be sure to listen to the full recording of our lively conversation, which covered Data Literacy, Data Strategy, Data Leadership, and more. The data age has been marked by numerous “hype cycles.” How To Build A Successful Enterprise Data Strategy. The Age of Hype Cycles.

Digital Transformation 142

Digital Transformation Experimentation Data Strategy Strategy 142