CIO Business Intelligence

FEBRUARY 13, 2024

NTT’s Smart Rainforest project is a groundbreaking endeavor that brings together innovative technology and environmental stewardship with the goal of transforming rainforest conservation. Using data and analytics to preserve the rainforest The Smart Rainforest initiative goes beyond data collection.

IoT 59

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Alation

SEPTEMBER 7, 2021

This will help stewards not only prioritize and delegate curation, but also gain feedback on the impact of their stewardship efforts. This means you can accept, reject or resolve data quality issues before exhausting too much time on heavy analytical work. Alation’s Stewardship dashboard aligns data processes with business practices.

Data Governance 59

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CIO Business Intelligence

SEPTEMBER 6, 2022

Behind the flagship brand, though, he says data remained scattered in siloes across many legacy business units and applications, with limited automation, many glossaries, and complex data lineage, and stewardship making it hard to govern and audit. We’re a Power BI shop,” he says. “I Establishing a clear and unified approach to data.

IT 98

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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. Enabling workers to find the right data is crucial to promoting self-service analytics. We call this “Agile Stewardship.”

Business Intelligence 52

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IBM Big Data Hub

JUNE 8, 2022

This requires data stewardship and data engineering practices to curate data standards and track data lineage, increasing the value of data. AI and Analytics is only good as the quality of data been used for it. Data quality. For data to be trusted, it needs to be complete, accurate and well understood. Data silos.

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Alation

FEBRUARY 13, 2020

Data curation is important in today’s world of data sharing and self-service analytics, but I think it is a frequently misused term. It is practical for the same individual to have both curation and stewardship responsibilities, especially at the level of domain curators. It is important, however, to recognize curation and stew.

Metadata 52

Metadata Data Warehouse Data Lake Data Governance 52

IBM Big Data Hub

JANUARY 25, 2023

Combining or linking data assets across multiple repositories to gain greater data analytics and insights requires alignment. To address these challenges and practice responsible data stewardship, organizations must invest in solutions that can protect their data from unauthorized access and breaches.

Data Governance 52

Data Governance Data-driven Strategy Management 52

Alation

FEBRUARY 20, 2020

Experts who understand certain datasets often play the stewardship role of ensuring that data consumers can make accurate and effective use of data. More recently, data governance initiatives have started to assign formal stewardship responsibility. In the release of Alation 4.0,

Metadata 52

Metadata Enterprise Data Processing Data Architecture 52

Alation

NOVEMBER 3, 2021

Alation complements Tableau to empower everyone in an organization to answer questions with data – increasing the productivity, and enabling data stewardship across the organization. In this blog, we will discuss how the right technologies support a self-service analytics environment. Challenges of Self-service Analytics.

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Alation

JULY 26, 2021

Promoting self-service analytics. Learn how AmFam balances data governance with self-service analytics. In this webinar, Driving Business Value from Governance Programs with Alation , you’ll see how AmFam uses the Alation Data Catalog to power analytics stewardship, helping people use data as a competitive asset.

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Alation

JUNE 6, 2022

To ensure success, Anthony and his team enlisted business owners to participate in a Cloud Data Stewardship program and used Alation’s active data governance to make governance visible for every data workload. Anthony cited breaking down silos and centralizing compliance and security as two big reasons for moving to the Snowflake Data Cloud.

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Andrew White

OCTOBER 22, 2021

MDM and/or D&A Governance and Stewardship 26. Analytics Tactics (known outcome/known data/BI/analytics v unknown outcome/unknown data/data science/ML) 11. VP Data and Analytics 1. Director Enterprise Analytics 1. Figure 1: Data and Analytics Strategy and Operating Model. Distributor 7. Public Sector 3.

IT 52

IT Data Lake Strategy Data Science 52

Alation

FEBRUARY 20, 2020

Metadata management with data catalogs now empower organizations to manage their data as a strategic asset across use cases as broad as data governance, analytics and application development. Rules management — automated enforcement of business rules in order to establish information stewardship for effective governance.

Metadata 52

Metadata Management Data-driven Data Governance 52

Alation

FEBRUARY 20, 2020

Organizations who are so successful in their adoption of self-service analytics, that their own business intelligence (BI) evangelists worry that they’ve created an analytics “wild west.” The ease with which you can find existing reports and dashboards in a data catalog reduces the “wild” experience of self-service analytics.

Marketing 52

Marketing Data Lake Dashboards Business Intelligence 52

FineReport

APRIL 9, 2024

By integrating advanced analytics solutions, healthcare organizations can elevate their capacity for data-driven decision-making. The seamless integration of healthcare analytics empowers providers to extract actionable insights from complex datasets, thereby facilitating evidence-based decision support systems.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Alation

MAY 19, 2022

Alation attended last week’s Gartner Data and Analytics Summit in London from May 9 – 11, 2022. Gartner Data & Analytics Summit 2022: Keynote Highlights. These are three areas in which analytics is rapidly advancing. So how are leaders supporting innovative analytics? Introduction. What a week! Conclusion.

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Metadata Data Analytics Analytics Data Governance 52

Alation

MARCH 22, 2022

Accenture calls it the Intelligent Data Foundation (IDF), and it’s used by dozens of enterprises with very complex data landscapes and analytic requirements. This accelerates the output of accuracy of analytics projects and enables engineering teams to scale up successful analytics more quickly. Take a look at figure 1 below.

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

CIO Business Intelligence

APRIL 27, 2022

And it will use those profiles in a new tool it launched today: Employee Journey Analytics. CIOs have a stewardship role to play here, he said: “CIOs … have an opportunity to establish some expectations for how that information is going to be used. Does it follow their data governance policies, their cybersecurity policies?

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Alation

SEPTEMBER 30, 2021

The report reveals: “Alation is used by the majority of its customers for data governance (77 percent), data discovery (77 percent) and data stewardship / data quality management (73 percent). Conclusion. Innovation. Ease of use. Connectivity. These are all great reasons to partner with Alation.

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Octopai

MAY 31, 2022

A data catalog uses your data ecosystem’s metadata to build a complete picture of every data asset: definition, calculation, access level, stewardship roles, and previews. An active metadata management tool adds a maître d’ to self-serve analytics. when compared to a DIY version. Bonus tool: active metadata management.

Management 52

Management Metadata Business Intelligence ROI 52

Alation

SEPTEMBER 28, 2022

The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. Teams are better able to conduct research on AI technologies , new analytics tools, and methods and share them in a DataOps environment.

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Alation

DECEMBER 9, 2021

Then, we’ll dive into the strategies that form a successful and efficient cloud transformation strategy, including aligning on business goals, establishing analytics for monitoring and optimization, and leveraging a robust data governance solution. Establish Analytics for Monitoring and Optimization. What is Cloud Transformation?

Cost-Benefit 52

Cost-Benefit Data Governance Optimization Data Processing 52

Alation

FEBRUARY 13, 2020

They are now central to data stewardship, data curation, and data governance—all metadata dependent activities. As data management becomes more complex with data lakes, big data, self-service analytics,and data science, the role of metadata changes, and the importance of metadata increases exponentially.

Metadata 52

Metadata Management Data Lake Data Governance 52

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. The following diagram is a conceptual analytics data hub reference architecture. This reference architecture partly combines a data hub and data lake to enable comprehensive analytics services.

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Alation

FEBRUARY 13, 2020

This article is based on a podcast Ron Powell conducted with Sharon Graves, Enterprise Data and BI Tools Evangelist for GoDaddy, about data curation, data stewardship, and data catalogs. His focus is on business intelligence, analytics, big data, and data warehousing. GoDaddy is committed to being a customer-first organization.

Digital Transformation 52

Digital Transformation Data-driven Business Intelligence Big Data 52

Alation

APRIL 25, 2023

Since businesses increasingly rely on data analytics to drive business decision-making and optimization, it’s crucial to generate a data collection privacy policy that’s comprehensive and transparent. This leads to data bottlenecks, breadlines… and lost opportunities.

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Data Governance Marketing Machine Learning Sales 52

CIO Business Intelligence

FEBRUARY 2, 2024

As data and analytics become the beating heart of the enterprise, it’s increasingly critical for the business to have access to consistent, high-quality data assets. The exam covers topics including master data governance, data quality and analytics, data replication and key mapping, and more.

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Management Data Governance Cost-Benefit Testing 116

Alation

APRIL 25, 2023

Since businesses increasingly rely on data analytics to drive business decision-making and optimization, it’s crucial to generate a data collection privacy policy that’s comprehensive and transparent. This leads to data bottlenecks, breadlines… and lost opportunities.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Insight

APRIL 16, 2019

Data stewardship programs are thoughtfully considering their use of data, ensuring that collected information is truly useful to the end user. These projects will serve as the forcing function to learn the state-of-the-art practices in security engineering, advanced security analytics and data privacy.

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Machine Learning Software Risk Reporting 68

Grooper

MARCH 5, 2020

If your organization has any kind of data and analytics initiative, then chances are you have people – maybe even an entire department dedicated to managing and integrating data for (and between) software applications to achieve some sort of business outcome. Information stewardship is a key concept in information governance.

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Andrew White

OCTOBER 20, 2022

This resource can be used in building and developing a data and analytics strategy, as well as prioritizing data for governance, and presenting D&A to the board of directors! We talked about about organization, setting up governance boards, and the role of stewardship. Data & Analytics Strategy 12. Key Take-Aways.

IT 52

IT Strategy Insurance Data-driven 52

Peter James Thomas

AUGUST 29, 2018

I have since run and driven transformation in Reference Data, Master Data , KYC [3] , Customer Data, Data Warehousing and more recently Data Lakes and Analytics , constantly building experience and capability in the Data Governance , Quality and data services domains, both inside banks, as a consultant and as a vendor. Know your customer. [4].

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Data-driven Cost-Benefit Metadata Technology 61

Occam's Razor

APRIL 15, 2019

Their most common reaction to negative data, if it makes it through, is to try to discredit it by asking analytically-nonsensical questions: What are the p-values of your multi-channel attribution model applied to performance of my strategy? To poke holes in the data/methodology (regardless of the Rationalizer’s analytical competence).

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Measurement Strategy Data Processing Uncertainty 79

Alation

NOVEMBER 4, 2021

With this, analytics can determine how well you are doing and where there are holes in your data. Next, you need to turn data experts into data stewards and automate a lot of the dog work via stewardship processes with the Stewardship Workbench, and the setting up of policies workflows.

Data Governance 94

Data Governance Metadata Data Quality Enterprise 94

Alation

MAY 24, 2022

Higher data intelligence drives higher confidence in everything related to analytics and AI/ML. At Kestra Financial, we need confidence that we’re delivering trustworthy, reliable data to everyone making data-driven decisions,” said Justin Mikhalevsky, Vice President of Data Governance & Analytics, Kestra Financial. “We In 2022.2,

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

DataKitchen

FEBRUARY 2, 2023

DataOps Automation (Orchestration, Environment Management, Deployment Automation) DataOps Observability (Monitoring, Test Automation) Data Governance (Catalogs, Lineage, Stewardship) Data Privacy (Access and Compliance) Data Team Management (Projects, Tickets, Documentation, Value Stream Management) What are the drivers of this consolidation?

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Metadata Testing Risk Data Science 130

Cloudera

DECEMBER 15, 2022

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Enhanced multi-function analytics. Accelerate analytics with materialized view support.

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