Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

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. Then, you transform this data into a concise format.

Data Strategy 74

Data Strategy Strategy Data Warehouse Prescriptive Analytics 74

AWS Big Data

OCTOBER 31, 2024

In this post, we discuss how Volkswagen Autoeuropa used Amazon DataZone to build a data marketplace based on data mesh architecture to accelerate their digital transformation. Data quality issues – Because the data was processed redundantly and shared multiple times, there was no guarantee of or control over the quality of the data.

Digital Transformation 98

Digital Transformation Metadata Manufacturing Data Quality 98

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

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

TDAN

AUGUST 31, 2021

Data is everywhere! But can you find the data you need? What can be done to ensure the quality of the data? How can you show the value of investing in data? Can you trust it when you get it? These are not new questions, but many people still do not know how to practically […].

Data Quality 105

Data Quality IT Metadata Data Strategy 105

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

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Implement data privacy policies. Implement data quality by data type and source.

Data Governance 102

Data Governance Unstructured Data Metadata Data Lake 102

Timo Elliott

JANUARY 6, 2022

The data you’ve collected and saved over the years isn’t free. If storage costs are escalating in a particular area, you may have found a good source of dark data. Analyze your metadata. If you’ve yet to implement data governance, this is another great reason to get moving quickly.

IT 135

IT Metadata Data-driven Data Governance 135

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

Alation

MAY 31, 2023

Ensure data security and compliance. Define data requirements and policies. Select and implement data tools and technologies. Collaborate on data strategy with business and IT leaders. Identify and address data issues. Lead or contribute to data-related projects and initiatives.

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

Octopai

JUNE 9, 2024

This challenge is especially critical for executives responsible for data strategy and operations. Here’s how automated data lineage can transform these challenges into opportunities, as illustrated by the journey of a health services company we’ll call “HealthCo.” This is where Octopai excels.

IT 52

IT Data-driven Predictive Analytics Metadata 52

TDAN

DECEMBER 20, 2022

Over the past few months, my team in Castlebridge and I have been working with clients delivering training to business and IT teams on data management skills like data governance, data quality management, data modelling, and metadata management.

Metadata 52

Metadata Data Governance Data Quality Management 52

BI-Survey

FEBRUARY 23, 2023

“Data culture eats data strategy for breakfast” has become a popular saying among data and analytics managers and executives. Even the best data strategy cannot fulfill its potential if the data culture in the company does not match it. These include tools for metadata management (e.g.,

Metadata 52

Metadata Data-driven Data Strategy Strategy 52

Ontotext

SEPTEMBER 15, 2020

The Data Fabric paradigm combines design principles and methodologies for building efficient, flexible and reliable data management ecosystems. Knowledge Graphs are the Warp and Weft of a Data Fabric. To implement any Data Fabric approach, it is essential to be able to understand the context of data.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Alation

AUGUST 11, 2022

We chatted about industry trends, why decentralization has become a hot topic in the data world, and how metadata drives many data-centric use cases. But, through it all, Mohan says it’s critical to view everything through the same lens: gaining business value from data. Data fabric is a technology architecture.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Here are a few common data management challenges: Regulatory compliance on data use. Data quality.

Data-driven 56

Data-driven Enterprise Data Governance Data Lake 56

Alation

OCTOBER 5, 2021

Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols. Why is your data governance strategy failing? So, why is YOUR data governance strategy failing? Common data governance challenges. Top 3 Roadblocks to Successful Data Governance.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Alation

MARCH 28, 2023

With data becoming more prevalent in every industry, organisations have to determine how to not only manage it but also drive value from it. The MoD identify three key issues: firstly, that ‘Defence data operates in contractual, technical and behavioural silos’. The defence industry is no exception.

Metadata 52

Metadata Data Strategy Data Quality Strategy 52

AWS Big Data

FEBRUARY 1, 2023

We also used AWS Lambda for data processing. To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake. Clients access this data store with an API’s.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Ontotext

MAY 2, 2024

They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance. Evolution of data approaches The data strategies we’ve had so far have led to a lot of challenges and pain points.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Alation

OCTOBER 21, 2021

That dirty data then corrupts analyses and forces mistakes. A frequent and periodic data cleansing strategy is. Lack of metadata. A lack of organization is another sign of a data swamp, typically driven by bad or incomplete metadata. Ungoverned data.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

Octopai

JANUARY 31, 2021

The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. Agile Data. Another podcast we think is worth a listen is Agile Data. Techcopedia follows the latest trends in data and provides comprehensive tutorials.

Data Governance 83

Data Governance Data Processing Data Quality Metadata 83

AWS Big Data

APRIL 19, 2023

Background The success of a data-driven organization recognizes data as a key enabler to increase and sustain innovation. The goal of a data product is to solve the long-standing issue of data silos and data quality. This solution solves the interoperability and linkage problem for data products.

Technology 86

Technology Data-driven Machine Learning Sales 86

BI-Survey

MARCH 4, 2022

However, when attempting to restructure and reorganize data flows and processes and bring in new ways of working with data, particularly CDOs, CIOs and data teams often run into what feels like a brick wall. DATA LEADERSHIP. Formulate and communicate the data strategy clearly, explicitly and frequently.

Data-driven 52

Data-driven Data Strategy Data Governance Strategy 52

Alation

MARCH 21, 2023

When it embarked on a digital transformation and modernization initiative in 2018, the company migrated all its data to AWS S3 Data Lake and Snowflake Data Cloud to provide accessibility to data to all users. Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

CIO Business Intelligence

MARCH 29, 2022

. • You have data but don’t use it. Why does valuable data so often go unused? Lack of annotation with the right metadata is a contributing factor. An even larger issue is that people may not know how to see value in data. Recognizing what data can tell you is an acquired skill for people beyond just data scientists.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

IBM Big Data Hub

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

Cost-Benefit 75

Cost-Benefit Metadata Optimization Management 75

Alation

AUGUST 11, 2021

The three of us talked migration strategy and the best way to move to the Snowflake Data Cloud. As Vice President of Data Governance at TMIC, Anthony has robust experience leading cloud migration as part of a larger data strategy. This underscores the importance of having a plan that fits your data strategy.

Data Governance 52

Data Governance Insurance Metadata Strategy 52

TDAN

MARCH 17, 2020

Business has a fundamental problem with data quality. In some places it’s merely painful, in others it’s nearly catastrophic. Why is the problem so pervasive? Why does it never seem to get fixed? I believe we’ve been thinking about the problem wrong. It’s time for a fresh look.

Data Quality 59

Data Quality Data Architecture IT Metadata 59

Data Virtualization

AUGUST 4, 2022

Reading Time: 3 minutes Last month, IDC announced that LeasePlan, a car-as-a-service company, was the winner of IDC’s European Data Strategy and Innovation awards, in the category of Data Management Excellence, for LeasePlan’s logical data fabric. This is a testament to the maturity of.

Data Strategy 52

Data Strategy Data Integration Strategy Management 52

Ontotext

MARCH 8, 2023

Solution Outcomes: A semantic recommendation service that is beating accuracy benchmarks and replacing manual processes aggregating content – that is supporting higher-quality, more advanced, and targeted recommendations with clear reasons. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

TDAN

JANUARY 18, 2022

Imagine what it would be like if your data was perfect. By perfect I mean fit for use and high quality. By perfect I mean that the people in your organization have confidence in the data to use it for effective decision making and to focus on building efficiency and effectiveness through data into your […].

IT 145

IT Data Quality Data Governance Metadata 145

TDAN

FEBRUARY 16, 2022

No, this is not a mistyping of data literacy. Yes, like everyone, I am aware of and fully on-board with the growing movement to improve data literacy in the enterprise. What I want to talk about is Data Littering, which is something else entirely.

Enterprise 145

Enterprise Data Quality Data Governance Metadata 145

TDAN

SEPTEMBER 14, 2021

A recent experience brought home to me the critical importance of good quality data in even the simplest of processes, particularly as processes become more automated and data driven. Before I went on vacation last month, a new team member joined Castlebridge.

Data-driven 123

Data-driven Data Quality Metadata Data Strategy 123

TDAN

JUNE 30, 2020

You may already have a formal Data Governance program in place. Or … you are presently going through the process of trying to convince your Senior Leadership or stakeholders that a formal Data Governance program is necessary. Maybe you are going through the process of convincing the stakeholders that Data […].

Data Governance 145

Data Governance Data Quality Metadata Data Strategy 145

TDAN

MARCH 16, 2021

The purpose of this article is to provide a model to conduct a self-assessment of your organization’s data environment when preparing to build your Data Governance program. Take the […].

Data Governance 105

Data Governance Testing Modeling Data Quality 105