CIO Business Intelligence

JANUARY 24, 2024

“IT leaders should establish a process for continuous monitoring and improvement to ensure that insights remain actionable and relevant, by implementing regular review cycles to assess the effectiveness of the insights derived from unstructured data.” This type of environment can also be deeply rewarding for data and analytics professionals.”

Data Strategy 135

Data Strategy Strategy Unstructured Data Data Governance 135

AWS Big Data

MAY 23, 2024

In today’s data-driven world, organizations often deal with data from multiple sources, leading to challenges in data integration and governance. This process is crucial for maintaining data integrity and avoiding duplication that could skew analytics and insights. csv" , header=True).createOrReplaceTempView("labeled")

Machine Learning 97

Machine Learning Interactive Recreation/Entertainment Data Integration 97

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

Octopai

JANUARY 31, 2021

Specifically, when it comes to data lineage, experts in the field write about case studies and different approaches to this utilizing this tool. Among many topics, they explain how data lineage can help rectify bad data quality and improve data governance. . TDWI – Philip Russom. Malcolm Chisholm.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

Andrew White

DECEMBER 4, 2019

I argued that one vendors’ book on data quality was really about data governance; I argued that another vendors’ marketing message was totally upside down; and I argued that some approaches to achieving single source of truth were different from traditional approaches. See Salesforce acquisition of Tableau – What does it mean?

Digital Transformation 64

Digital Transformation Data Integration Data Quality Data Warehouse 64

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

erwin

MAY 14, 2021

Now you can rely on one solution for all your enterprise data modeling needs, working across DBMS platforms, using modern modeling techniques for faster data value, and centrally governing all data definition, data modeling and database design initiatives.

Modeling 80

Modeling Digital Transformation Data-driven Optimization 80

Alation

FEBRUARY 13, 2020

This achievement is a testament not only to our legacy of helping to create the data catalog category but also to our continued innovation in improving the effectiveness of self-service analytics. A broader definition of Business Intelligence.

Business Intelligence 52

Business Intelligence Machine Learning Marketing Metadata 52

Smarten

AUGUST 17, 2018

Changing access to data, and allowing business users to become more familiar with analytics and more knowledgeable about how to use them in everyday decisions will most certainly change the dynamic within your organization. More education, more knowledge, more access means will encourage balance and involvement.

Analytics 40

Analytics Measurement Data-driven Optimization 40

Ontotext

MARCH 8, 2023

Knowledge Graphs provide structure for all types of data – either serving as a semantic layer or as a domain mapping solution – and enable the creation of multilateral relations across data sources, explicitly capturing how the data is being used, and what changes are being made to data.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

DataKitchen

APRIL 13, 2021

Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. .

Testing 300

Testing Machine Learning Consulting Data Quality 300

erwin

MAY 27, 2020

What’s desperately needed is a way to understand the relationships and interconnections between so many entities in data sets in detail. Visualizing data from anywhere defined by its context and definition in a central model repository, as well as the rules for governing the use of those data elements, unifies enterprise data management.

Modeling 98

Modeling Metadata Data Governance Visualization 98

erwin

FEBRUARY 19, 2021

Automate the collection of metadata from various data management silos and consolidate it into a single source. Structure and deploy data sources. Connect physical metadata to specific data models, business terms, definitions and reusable design standards. Map data flows. An enterprise data governance experience.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

erwin

FEBRUARY 7, 2019

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. The volume and variety of data has snowballed, and so has its velocity. As such, traditional – and mostly manual – processes associated with data management and data governance have broken down.

Metadata 96

Metadata Insurance Data-driven Cost-Benefit 96

David Menninger's Analyst Perspectives

JANUARY 11, 2022

Organizations today are working with multiple applications and systems, including enterprise resource planning (ERP), customer relationship management (CRM), supply chain management (SCM) and other systems, where data can easily become fragmented and siloed.

Software 231

Software Enterprise Management Analytics 231

Alation

JULY 28, 2022

For this redesign to succeed, it is critical to remember data governance becomes even more essential to understanding where your data is at all times. What Are the Biggest Business Risks to Cloud Data Migration? Like any data migration, cloud data migration requires careful planning, design, and execution.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

AWS Big Data

JULY 13, 2023

Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices. Goals – Lay the foundation for a data platform that can be used in the future by internal and external stakeholders. A set of QuickSight dashboards to be consumed via browser and mobile.

Optimization 91

Optimization B2B Data Quality Sales 91

Ontotext

JUNE 29, 2023

The straightforward answer to this question is that knowledge graphs put data into context to provide a smart framework for data integration, unification, analytics and sharing. Step 1: Definition of Scope [Why You Need A Knowledge Graph] In the first step of the journey, you decide why you need a knowledge graph.

Cost-Benefit 59

Cost-Benefit Data-driven Data Quality Enterprise 59

Alation

JANUARY 13, 2022

But make no mistake: A data catalog addresses many of the underlying needs of this self-serve data platform, including the need to empower users with self-serve discovery and exploration of data products. In this blog series, we’ll offer deep definitions of data fabric and data mesh, and the motivations for each. (We

Data Lake 59

Data Lake Metadata Data-driven Data Governance 59

Alation

AUGUST 11, 2022

Everybody’s trying to solve this same problem (of leveraging mountains of data), but they’re going about it in slightly different ways. Data fabric is a technology architecture. It’s a data integration pattern that brings together different systems, with the metadata, knowledge graphs, and a semantic layer on top.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

Jen Stirrup

MARCH 29, 2023

However, to turn data into a business problem, organizations need support to move away from technical issues to start getting value as quickly as possible. SAP Datasphere simplifies data integration, cataloging, semantic modeling, warehousing, federation, and virtualization through a unified interface. Why is this interesting?

Metadata 121

Metadata Data Warehouse Data Integration Business Intelligence 121

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric. This is a key component of active data governance.

Metadata 52

Metadata IT Metrics Data-driven 52

CIO Business Intelligence

MAY 24, 2022

Deloitte lists these as: Creating and shaping a common data foundation. Defining and using single data points for multiple purposes. Building a semantic layer describing unified business and reporting definitions. store and process the data, typically in a data warehouse, where the data is modelled and schema applied.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

Alation

JANUARY 17, 2023

What if, experts asked, you could load raw data into a warehouse, and then empower people to transform it for their own unique needs? Today, data integration platforms like Rivery do just that. By pushing the T to the last step in the process, such products have revolutionized how data is understood and analyzed.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Birst BI

FEBRUARY 13, 2018

Decentralized teams and individual users can augment the corporate data model with their own local data, without compromising data governance. Consistency comes from a unified semantic layer, which maintains common definitions and key metrics, no matter where users sit. Mobile reporting, visualization, analysis.

Business Intelligence 66

Business Intelligence Diagnostic Analytics Analytics Visualization 66

Andrew White

JANUARY 9, 2022

Could you precise to which complementary research you mentioned when you talked about a data governance survey ? – Here is the one I mentioned during the webinar: The State of Data and Analytics Governance Is Worse Than You Think. – Data (and analytics) governance remains a challenge.

Analytics 64

Analytics Measurement Modeling Data-driven 64

erwin

MAY 17, 2021

erwin by Quest just released the “2021 State of Data Governance and Empowerment” report. This past year also saw a major shift as the silos between data governance, data operations and data protection diminished, with enterprises seeking to understand their data and the systems they use and secure to empower smarter decision-making.

Data Governance 99

Data Governance Data Quality Snapshot Reporting 99

erwin

JUNE 17, 2021

erwin by Quest just released the “ 2021 State of Data Governance and Empowerment” report. This past year also saw a major shift as the silos between data governance, data operations and data protection diminished, with enterprises seeking to understand their data and the systems they use and secure to empower smarter decision-making.

Data Governance 59

Data Governance Data Quality Snapshot Reporting 59

datapine

FEBRUARY 22, 2022

IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. While privacy and security are tight to each other, there are other ways in which data can be misused and you need to make sure you are carefully considering this when building your strategies.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

FEBRUARY 10, 2022

Further, as emerging privacy laws mandate how data can be used, data classification helps you meet these requirements. With data classification, metadata tags are used to: Protect sensitive data. Identify data governed by GDPR &CCPA , HIPAA, PCI, SOX, and BCBS. Data Classification and Data Governance.

Data Governance 52

Data Governance Risk Insurance Metadata 52

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Key Design Principles of a Data Mesh. Introduction.

Metadata 127

Metadata Cost-Benefit Enterprise Interactive 127

erwin

AUGUST 31, 2023

Reduced Data Redundancy : By eliminating data duplication, it optimizes storage and enhances data quality, reducing errors and discrepancies. Efficient Development : Accurate data models expedite database development, leading to efficient data integration, migration, and application development.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Alation

DECEMBER 8, 2022

Data governance is growing in urgency and prominence. As regulations grow more complex (and compliance fines more onerous) organizations aren’t just adapting data governance frameworks to drive compliance – they’re leveraging governance to fuel a growing range of use cases, from collaboration to stewardship, discovery, and more.

Data Governance 52

Data Governance Data-driven Strategy Risk 52

erwin

JULY 17, 2019

In fact, data professionals spend 80 percent of their time looking for and preparing data and only 20 percent of their time on analysis, according to IDC. The solution is data intelligence. It improves IT and business data literacy and knowledge, supporting enterprise data governance and business enablement.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Jet Global

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MARCH 23, 2023

The truth is that self-service has no fixed definition and will mean different things to every team and employee based on their exact needs. Whatever their needs are, provide your end-users with tailored self-service capabilities for a more productive, engaging, and satisfying data experience. The key is finding the right balance.

Dashboards 52

Dashboards Reporting Key Performance Indicator Interactive 52

Jet Global

OCTOBER 24, 2022

Modern analytics offers a different approach that incorporates data access, data governance, and dashboard interactivity – simplifying access to information. The Definitive Guide to Embedded Analytics. Historically, that has required a trade-off between control over the user experience and the freedom of self-service.

Analytics 52

Analytics Dashboards Software Reporting 52