erwin

JUNE 29, 2021

From overburdened data operations experts enabling data usage, to end-users struggling to access the data that matters, organizations continue to look for ways to give stakeholders the tools they need to do their jobs more effectively. A key trend proving successful in data empowerment is investing in self-service technology.

Data Governance 64

Data Governance Data-driven Reporting Technology 64

CIO Business Intelligence

FEBRUARY 16, 2023

The company’s orthodontics business, for instance, makes heavy use of image processing to the point that unstructured data is growing at a pace of roughly 20% to 25% per month. Advances in imaging technology present Straumann Group with the opportunity to provide its customers with new capabilities to offer their clients.

Unstructured Data 103

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 103

erwin

APRIL 29, 2020

Tracing the source of data is an arduous task. Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. Data Governance. Data Quality.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

datapine

SEPTEMBER 29, 2022

Today most of a company’s operations and strategic decisions heavily rely on data, so the importance of quality is even higher. And indeed, low-quality data is the leading cause of failure for advanced data and technology initiatives, to the tune of $9.7 Here, it all comes down to the data transformation error rate.

Data Quality 241

Data Quality Metrics Data-driven Management 241

erwin

SEPTEMBER 17, 2020

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

FineReport

JUNE 7, 2024

Criteria for Top Data Visualization Companies Innovation and Technology Cutting-edge technology lies at the core of top data visualization companies. Embrace FanRuan’s transformative technologies to elevate your data visualization experience to unprecedented heights!

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Alation

OCTOBER 28, 2021

This data is also a lucrative target for cyber criminals. Healthcare leaders face a quandary: how to use data to support innovation in a way that’s secure and compliant? Data governance in healthcare has emerged as a solution to these challenges. What is Data Governance in Healthcare?

Data Governance 52

Data Governance Measurement Metrics Data Quality 52

Anmut

MARCH 24, 2022

We could give many answers, but they all centre on the same root cause: most data leaders focus on flashy technology and symptomatic fixes instead of approaching data transformation in a way that addresses the root causes of data problems and leads to tangible results and business success.

ROI 52

ROI Measurement Data-driven Data Transformation 52

Alation

MARCH 22, 2022

In fact, DataOps (and its underlying foundation, Data Fabric ), has ranked as a top area of inquiry and interest with analysts over the past twelve months. DataOps requires an array of technology to automate the design, development, deployment, and management of data delivery, with governance sprinkled on for good measure.

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

Peter James Thomas

OCTOBER 30, 2018

It may well be that one thing that a CDO needs to get going is a data transformation programme. This may purely be focused on cultural aspects of how an organisation records, shares and otherwise uses data. It may be to build a new (or a first) Data Architecture. It may be to introduce or expand Data Governance.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

IBM Big Data Hub

JANUARY 9, 2024

The emergence of generative AI prompted several prominent companies to restrict its use because of the mishandling of sensitive internal data. According to CNN, some companies imposed internal bans on generative AI tools while they seek to better understand the technology and many have also blocked the use of internal ChatGPT.

Enterprise 72

Enterprise Data Integration Data Quality Contextual Data 72

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable.

Metadata 52

Metadata Management Data Governance Machine Learning 52

Alation

JANUARY 17, 2023

The modern data stack started to gain popularity in the early 2010s, as companies began to realize the benefits of big data. Most importantly, cloud computing has gotten much faster and cheaper, emerging as the core technology driving the development of the modern data stack. Who Can Adopt the Modern Data Stack?

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. But what does this mean from a practitioner perspective?

Metrics 52

Metrics Dashboards Sales Reporting 52

IBM Big Data Hub

MARCH 14, 2024

Whether it’s for ad hoc analytics, data transformation, data sharing, data lake modernization or ML and gen AI, you have the flexibility to choose. Unlock competitive advantages with accelerated data insights through an AI-powered conversational interface, with no SQL expertise required.

Cost-Benefit 76

Cost-Benefit Metadata Optimization Management 76

Alation

AUGUST 11, 2022

In the technology industry, even the most incremental trends often get framed in next-generation terminology. DataOps sprung up to connect data sources to data consumers. The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. Tools became stacks.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

Anmut

APRIL 6, 2022

Now we’d like to discuss how you can start extracting maximum value from your data by taking a closer look at what data asset management looks like in practice. Data asset management is a holistic approach to managing your data assets. Data transformation is a marathon, not a sprint.

Cost-Benefit 52

Cost-Benefit ROI Sales Data-driven 52

CIO Business Intelligence

JUNE 14, 2022

By most accounts, companies are making the necessary investments, as evidenced by the majority of heads of IT (52%) saying data analytics and machine learning will drive the most IT investment at their organizations this year, according to CIO.com’s State of the CIO survey. Anatomy of a data strategy. What actually works.

Data Transformation 141

Data Transformation Data-driven Data Strategy Strategy 141

erwin

APRIL 16, 2024

In this blog, we’ll delve into the critical role of governance and data modeling tools in supporting a seamless data mesh implementation and explore how erwin tools can be used in that role. erwin also provides data governance, metadata management and data lineage software called erwin Data Intelligence by Quest.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

CIO Business Intelligence

NOVEMBER 7, 2023

Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever. The aim is to normalize, aggregate, and eventually make available to analysts across the organization data that originates in various pockets of the enterprise.

Data Warehouse 139

Data Warehouse Digital Transformation Data-driven Reporting 139

Cloudera

OCTOBER 11, 2021

And most importantly, it democratizes access to end-users, such as Data Engineering teams, Data Science teams, and even citizen data scientists, across the organization while ensuring compliance with data governance policies are met. Also, enterprises can tap into new technologies like Kubernetes.

Data Lake 95

Data Lake Cost-Benefit Data-driven Dashboards 95

Rocket-Powered Data Science

MARCH 20, 2023

In fact, by putting a single label like AI on all the steps of a data-driven business process, we have effectively not only blurred the process, but we have also blurred the particular characteristics that make each step separately distinct, uniquely critical, and ultimately dependent on specialized, specific technologies at each step.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Unstructured Data 325

erwin

MARCH 26, 2020

According to Gartner , “data literacy is the ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied — and the ability to describe the use case, application and resulting value.”.

Data-driven 90

Data-driven Unstructured Data Enterprise Finance 90

CIO Business Intelligence

JANUARY 24, 2024

These autonomous software agents, working collaboratively in a decentralized fashion, are not just a technological marvel; they are an imperative response to the escalating complexity of today’s challenges. As AI accelerates at a breakneck pace, the urgency to harness the potential of Agent Swarms becomes increasingly apparent.

IoT 100

IoT Machine Learning Optimization Internet of Things 100

Ontotext

FEBRUARY 12, 2024

For many organizations, a centralized data platform will fall short as it gives data teams much less autonomy over managing increasingly diverse and voluminous datasets. However, data mesh is not about introducing new technologies.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

IBM Big Data Hub

JUNE 15, 2023

Analytics repositories market landscape Many of our customers have analytics repositories such as data in analytics appliances on-premises, cloud data warehouses and data lakes. How does watsonx.data bring disruptive innovation to data management? This provides further opportunities for cost optimization.

Data Warehouse 86

Data Warehouse Data Lake Optimization Data-driven 86

IBM Big Data Hub

JULY 5, 2023

It gained rapid popularity given its support for data transformations, streaming and SQL. But it never co-existed amicably within existing data lake environments. Fast forward almost 15 years and reality has clearly set in on the trade-offs and compromises this technology entailed.

Data Lake 60

Data Lake Metadata Cost-Benefit Data Warehouse 60

Birst BI

FEBRUARY 25, 2020

Data never leaves Snowflake with Birst’s ability to support the reporting and self-service needs of both centralized IT and decentralized LOB teams. Birst’s real-time connectivity to Snowflake delivers a full-stack BI solution with enterprise-grade security, data governance & auditing for organizations of any size and scale.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MARCH 14, 2024

With the right technology solutions in place, you can stay ahead of the proverbial learning curve and experience the full potential of your Fabric integration from day one. It offers a transparent and accurate view of how data flows through the system, ensuring robust compliance. Or does it?

Analytics 52

Analytics Management Reporting Enterprise 52