AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

CIO Business Intelligence

JUNE 20, 2022

The strategy, which covers only England due to devolved decision-making in healthcare, ties back to Javid’s earlier ambitions to focus reform in healthcare on four P’s: prevention, personalisation, performance, and people – and puts a heavy emphasis on giving patients greater confidence that their data is being used appropriately.

Data Strategy 97

Data Strategy Strategy Digital Transformation Data Architecture 97

IBM Big Data Hub

AUGUST 4, 2023

Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations. This includes tools that do not require advanced technical skill or deep understanding of data analytics to use.

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

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

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? What are the goals of your data team?

Data Strategy 52

Data Strategy Strategy Metadata Interactive 52

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

Peter James Thomas

MARCH 23, 2020

In my last article, Data Strategy Creation – A Roadmap , I hopefully gave some sense of the complexities involved in developing a commercially focussed Data Strategy. I had successfully developed and then executed a Data Strategy for the European operations of a leading Global General Insurer.

Data Strategy 89

Data Strategy Strategy Insurance Interactive 89

Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 134

Analytics Data Science Unstructured Data Data mining 134

CIO Business Intelligence

NOVEMBER 14, 2022

Analytics have evolved dramatically over the past several years as organizations strive to unleash the power of data to benefit the business. Break down internal data silos to create boundaryless innovation while enabling greater collaboration with partners outside of their own organization.

Analytics 102

Analytics Machine Learning Testing Data Strategy 102

AWS Big Data

NOVEMBER 13, 2023

Join the AWS Analytics team at AWS re:Invent this year, where new ideas and exciting innovations come together. For those in the data world, this post provides a curated guide for all analytics sessions that you can use to quickly schedule and build your itinerary. A shapeshifting guardian and protector of data like Data Lynx?

Analytics 111

Analytics Data Lake Data Warehouse Data-driven 111

CIO Business Intelligence

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

Data Architecture 130

Data Architecture Data Warehouse Statistics Visualization 130

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer job description.

Analytics 127

Analytics Data Science Statistics Unstructured Data 127

CIO Business Intelligence

NOVEMBER 28, 2023

Still, to truly create lasting value with data, organizations must develop data management mastery. This means excelling in the under-the-radar disciplines of data architecture and data governance. Contributing to the general lack of data about data is complexity. Seven individuals raised their hands.

Management 115

Management Data Architecture Data Lake Data Strategy 115

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

AWS Big Data

OCTOBER 25, 2023

Therefore, there is a need to being able to analyze and extract value from the data economically and flexibly. Solution overview Data and metadata discovery is one of the primary requirements in data analytics, where data consumers explore what data is available and in what format, and then consume or query it for analysis.

Unstructured Data 121

Unstructured Data Metadata Management Analytics 121

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Cloudera

JUNE 7, 2022

Also, Cloudera DataFlow is rated highly in the GigaOm Radar for Streaming Data Platforms. Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. Where data flows, ideas follow. Today, we are leading the way in hybrid data.

IT 110

IT Data Architecture Unstructured Data Big Data 110

Sisense

AUGUST 28, 2019

What does it mean for your data? Let’s dive into what you should consider in a BI platform to ensure you’re protecting and future-proofing your company’s data strategy. Portability should also extend beyond public clouds to support private clouds and on-prem architectures simultaneously. Conclusion.

Analytics 73

Analytics Data Strategy Strategy Data Architecture 73

Alation

OCTOBER 12, 2021

Enterprise data analytics enables businesses to answer questions like these. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business. What is Enterprise Data Analytics? Business strategy. DataOps. …

Strategy 52

Strategy Enterprise Analytics Data Governance 52

Cloudera

SEPTEMBER 19, 2023

Adding another position may not be terribly appealing, but there is one C-suite role every company should consider—chief data and analytics officer (CDO or CDAO). Data is the lifeblood of modern business, the fuel that powers digital transformation, and every company should have a data strategy.

IT 77

IT Data Strategy ROI Data-driven 77

CIO Business Intelligence

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. That strategy is doomed to fail.

Manufacturing 90

Manufacturing Data Architecture Strategy Data Strategy 90

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. Telco organizations are planning to move towards hybrid multi-cloud to manage data better and support their workforces in the near future. 2- AI capability drives data monetization.

Optimization 78

Optimization Data Architecture Data Governance Digital Transformation 78

CIO Business Intelligence

JUNE 23, 2022

Also, Cloudera DataFlow is rated highly in the GigaOm Radar for Streaming Data Platforms. Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. Where data flows, ideas follow. Today, we are leading the way in hybrid data.

IT 83

IT Data Architecture Unstructured Data Big Data 83

IBM Big Data Hub

DECEMBER 16, 2022

Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise. In other words, they must ensure that data strategy aligns to business strategy. Building the foundation: data architecture.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

CIO Business Intelligence

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. Layering technology on the overall data architecture introduces more complexity. Data and cloud strategy must align.

Data Architecture 105

Data Architecture Data Integration IoT Strategy 105

CIO Business Intelligence

APRIL 25, 2022

Similarly, many organizations have built data architectures to remain competitive, but have instead ended up with a complex web of disparate systems which may be slowing them down. Too often strategy focuses on success within the confines of a team. Aligning data.

Data Architecture 100

Data Architecture Digital Transformation Data-driven Strategy 100

Cloudera

MAY 9, 2023

In addition, by adding analytical capabilities for real-time processing, SoftBank has succeeded in reducing the time to value, acccelerating their impact on the business. With more users accessing data, the ability to secure and manage data, such as sensitive customer data in on-premise environments, becomes a higher priority.

Data Lake 89

Data Lake IoT Data Governance Data Strategy 89

IBM Big Data Hub

MAY 15, 2024

Data must be combined and harmonized from multiple sources into a unified, coherent format before being used with AI models. Unified, governed data can also be put to use for various analytical, operational and decision-making purposes. This process is known as data integration, one of the key components to a strong data fabric.

Cost-Benefit 71

Cost-Benefit Data Integration Data Architecture Manufacturing 71

CIO Business Intelligence

JUNE 16, 2022

Most organizations (81%) don’t have an enterprise data strategy that enables them to fully capitalize on their data assets, according to Accenture. A real-time data technology stack has to shrink this innovation gap for the business. . Often, enterprise data ecosystems are built with a mindset that’s too narrow.

IT 128

IT Experimentation IoT Data-driven 128

CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. A unified data ecosystem enables this in real time.

Machine Learning 138

Machine Learning Cost-Benefit Data-driven Strategy 138

Cloudera

JANUARY 5, 2023

What is certain is that having an enterprise data strategy aligned to the organization’s cloud strategy and business priorities will help the organization drive greater business value by improving operational efficiencies and unlocking new revenue streams.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

AWS Big Data

FEBRUARY 27, 2024

Four-layered data lake and data warehouse architecture – The architecture comprises four layers, including the analytical layer, which houses purpose-built facts and dimension datasets that are hosted in Amazon Redshift. This enables data-driven decision-making across the organization.

Data-driven 97

Data-driven Data Lake Data Quality Data Governance 97

AWS Big Data

APRIL 19, 2023

Independent data products often only have value if you can connect them, join them, and correlate them to create a higher order data product that creates additional insights. A modern data architecture is critical in order to become a data-driven organization.

Technology 85

Technology Data-driven Machine Learning Sales 85

TDAN

OCTOBER 20, 2021

As technology is improving itself with continuous upgrades, it has led to the birth of using software without installing it on your device, such service is known as Software as a Service (SaaS). With the introduction of such services in the market, there is also a demand for business stats to appear in real-time. Through […].

Analytics 69

Analytics Software Marketing Technology 69

Cloudera

JANUARY 30, 2024

According to Gartner , 80 percent of manufacturing CEOs are increasing investments in digital technologies—led by artificial intelligence (AI), Internet of Things (IoT), data, and analytics. The lack of universal industrial data has been one of the major obstacles slowing the adoption of AI among mainstream manufacturers.

Manufacturing 79

Manufacturing Contextual Data IoT Digital Transformation 79