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 83

Technology Data-driven Machine Learning Sales 83

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. Aggregate and pool.

IT 133

IT Metadata Data-driven Data Governance 133

CIO Business Intelligence

MARCH 4, 2024

The data mesh debate This is not to say that there is a consensus that data mesh is a universal solution. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies.

Insurance 98

Insurance Strategy Data Governance Data Integration 98

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

Ontotext

SEPTEMBER 15, 2020

It must not attempt to force or predict how the data is to be used but to enable that decision to be made by today’s user (and tomorrow’s) while still maintaining organization appropriate access control and security. Knowledge Graphs are the Warp and Weft of a Data Fabric. Consider using data catalogs for this purpose.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

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

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 57

Data Governance Data Processing Data Quality Metadata 57

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

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #6: Data Quality and Governance The size and complexity of data sources and datasets is making traditional data dictionaries and Entity Relationship Diagrams (ERD) inadequate.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

AWS Big Data

JANUARY 31, 2023

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

Data Lake 83

Data Lake Data Governance Data Architecture Machine Learning 83

TDAN

SEPTEMBER 7, 2022

Technology is making it easier and easier to run a business, but sometimes you must step back and look at the big picture. We are living in a world mapped by data points. Every customer and every opportunity are a combination of unique data points. Harnessing this data can transform your business potential to an […].

Management 52

Management Technology Data Quality IT 52

Alation

MAY 31, 2023

Maintain data models and documentation. 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.

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

TDAN

MARCH 3, 2020

If you have been around the IT industry for as long as I have, you have seen technologies and ideas come and go—and sometimes even come back again. This is surely the case with the “new” products that call themselves data catalogs. But before talking about the rise of the data catalog, I will take […].

Technology 78

Technology Data Quality IT Metadata 78

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

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

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

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

Alation

MARCH 21, 2023

Data security The travel industry collects, transmits, processes, and stores a wide range of personally identifiable information (PII) from customers, which are of interest to bad actors, as cybercriminals target this valuable data. Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 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 76

Cost-Benefit Metadata Optimization Management 76

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

Alation

DECEMBER 15, 2021

Advantages include more data-driven decision-making, enhanced business innovation, and improved collaboration. Data governance requires a system. It’s important to have a solid framework of the people, processes, and technologies involved. Let’s explore the key steps for building an effective data governance strategy.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Alation

NOVEMBER 11, 2021

Modern data catalogs are far more than a metadata repository or your grandfather’s data dictionary. They continually analyze data and metadata to provide insight that enables data governance at scale. Data Quality Metrics. Alation’s Active Data Governance allows you to do all of this and more.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

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

Cloudera

JULY 20, 2021

A recent McKinsey report dove into the divergence between retail’s laggards and winners and found if there is one message in the retail sector’s stock market performance since the pandemic’s start, it is that investors flocked to companies with strong technology capabilities.

Manufacturing 110

Manufacturing Forecasting IoT Insurance 110

DataKitchen

JUNE 24, 2021

Now we are demonstrating much faster cycle time and quality, frankly by doing things like benchmarking. Before we jump into a methodology or even a data strategy-based approach, what are we trying to accomplish? Bergh added, “ DataOps is part of the data fabric. Automate the data collection and cleansing process.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

Alation

JULY 6, 2021

Source: Gartner : Adaptive Data and Analytics Governance to Achieve Digital Business Success. As data collection and volume surges, so too does the need for data strategy. As enterprises struggle to juggle all three, data governance offers a vital framework. Why Do Data Silos Happen? New data sources.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

IBM Big Data Hub

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. It uses knowledge graphs, semantics and AI/ML technology to discover patterns in various types of metadata.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. Acts as chair of, and appoints members to, the data council.

Management 80

Management Risk Measurement Optimization 80