Octopai

OCTOBER 26, 2022

DataOps is an approach to best practices for data management that increases the quantity of data analytics products a data team can develop and deploy in a given time while drastically improving the level of data quality. Did you just have a spectacular new idea for a data analytics product?

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

AWS Big Data

MAY 7, 2024

Amazon DataZone allows you to simply and securely govern end-to-end data assets stored in your Amazon Redshift data warehouses or data lakes cataloged with the AWS Glue data catalog. The producer also needs to manage and publish the data asset so it’s discoverable throughout the organization.

Metadata 77

Metadata Data Lake Data Processing Data-driven 77

Cloudera

MARCH 3, 2022

The medical insurance company wasn’t hacked, but its customers’ data was compromised through a third-party vendor’s employee. In the 2020 O’Reilly Data Quality survey only 20% of respondents say their organizations publish information about data provenance or data lineage internally.

Data Governance 98

Data Governance Enterprise Data Quality Metadata 98

CIO Business Intelligence

DECEMBER 21, 2022

This article was co-authored by Katherine Kennedy , an Associate at Metis Strategy. For years, ESG has been little more than a sub-bullet or appendix slide in most CIOs’ strategy decks. Corporate strategies hinge on it. Disparate data will not work for ESG as it’s too difficult to analyze and report on.

Metrics 104

Metrics Data Governance Reporting Dashboards 104

CIO Business Intelligence

APRIL 15, 2024

“In this case, while we have the same roles involved that many of our product teams have, such as product, experience design, engineering, and data science, we worked differently by keeping the team small and isolated from all the operational stuff that gets in the way.”

Testing 83

Testing Experimentation Data Quality Machine Learning 83

CIO Business Intelligence

MAY 24, 2023

The first published data governance framework was the work of Gwen Thomas, who founded the Data Governance Institute (DGI) and put her opus online in 2003. They already had a technical plan in place, and I helped them find the right size and structure of an accompanying data governance program.

Data Governance 104

Data Governance Data Quality Data Collection Manufacturing 104

CIO Business Intelligence

NOVEMBER 29, 2022

Increasing ROI for the business requires a strategic understanding of — and the ability to clearly identify — where and how organizations win with data. It’s the only way to drive a strategy to execute at a high level, with speed and scale, and spread that success to other parts of the organization. Data and cloud strategy must align.

Data Architecture 105

Data Architecture Data Integration IoT Strategy 105

CIO Business Intelligence

JANUARY 31, 2023

Telecommunications, manufacturing, retail, publishing, and others have seen amazing changes in terms of new opportunities, capabilities, and efficiencies. To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use.

Deep Learning 105

Deep Learning Cost-Benefit Data-driven Manufacturing 105

datapine

MAY 31, 2022

In fact, the Foundry’s recently published Cloud Computing Study (2022) found that 84% of organizations have at least one application, or a portion of their computing infrastructure already in the cloud. We discussed already some of these cloud computing challenges when comparing cloud vs on premise BI strategies.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

CIO Business Intelligence

JUNE 2, 2022

It’s sort of like teaching a child to identify different animals: this is a rabbit, this is a donkey and so on,” King said, in a published interview. “If To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use. IT Leadership

Machine Learning 138

Machine Learning Deep Learning Data Quality Strategy 138

erwin

MARCH 30, 2020

As a result, the data may be compromised, rendering faulty analyses and insights. To marry the epidemiological data to the population data it will require a tremendous amount of data intelligence about the: Source of the data; Currency of the data; Quality of the data; and.

Metadata 122

Metadata IT Data Governance Data Quality 122

erwin

JULY 12, 2019

So it’s important to understand how to use strategic data governance to manage the complexity of regulatory compliance and other business objectives … Designing and Operationalizing Regulatory Compliance Strategy. The post Using Strategic Data Governance to Manage GDPR/CCPA Complexity appeared first on erwin, Inc.

Data Governance 110

Data Governance Management Metadata Risk Management 110

Cloudera

MARCH 14, 2023

Data leaders will be able to simplify and accelerate the development and deployment of data pipelines, saving time and money by enabling true self service. It is no secret that data leaders are under immense pressure. Data quality issue? Security breach? Massive cloud consumption bill you can’t account for?

Cost-Benefit 78

Cost-Benefit Data-driven Risk Data Governance 78

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. What is the lifecycle of a data product?

Management 81

Management Risk Measurement Optimization 81

CIO Business Intelligence

AUGUST 5, 2022

This article was co-authored by Chris Boyd , a Senior Associate at Metis Strategy. In the dashboard, the company summarized the performance of all 71 data points with a single grade on a 0-100 scale. Publish, iterate, integrate, and automate Share the MVP and prospectus and provide ample opportunities for feedback and Q&A.

Metrics 105

Metrics Dashboards Measurement Data-driven 105

Smarten

APRIL 19, 2024

The use of Generative AI, LLM and products such as ChatGPT capabilities has been applied to all kinds of industries, from publishing and research to targeted marketing and healthcare. Nothing…and I DO mean NOTHING…is more prominent in technology buzz today than Artificial Intelligence (AI). billion, with the market growing by 31.1%

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

Octopai

APRIL 19, 2021

Strong metadata management enhances business intelligence which leads to more informed strategy and better performance. Donna Burbank is a Data Management Consultant and acts as the Managing Director at Global Data Strategy, Ltd. TDAN stands for The Data Administration Newsletter. It is published by Robert S.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

TDAN

DECEMBER 20, 2022

It has been eight years plus since the first edition of my book, Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success, was published by long-time TDAN.com contributor, Steve Hoberman, and his publishing company Technics Publications. That seems like a long time ago.

Data Governance 91

Data Governance Publishing Data Quality IT 91

Ontotext

NOVEMBER 16, 2023

Data mesh is still in its infancy, and data personas and organizations are craving clarity and specificity. It is critical to be aware of the “why” and “what” and fully understand the role that knowledge graphs play when considering adopting a data mesh strategy. The debate on what constitutes a data mesh rages on.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

Jet Global

OCTOBER 26, 2023

If your finance team is using JD Edwards (JDE) and Oracle E-Business Suite (EBS), it’s like they rely on well-maintained and accurate master data to drive meaningful insights through reporting. For these teams, data quality is critical. Ensuring that data is integrated seamlessly for reporting purposes can be a daunting task.

Data Quality 52

Data Quality Reporting Operational Reporting Finance 52

DataKitchen

MARCH 16, 2023

What are the metrics that matter? Gartner attempted to list every metric under the sun in their recent report , “T oolkit: Delivery Metrics for DataOps, Self-Service Analytics, ModelOps, and MLOps, ” published February 7, 2023. For example, Gartner’s DataOps metrics can be categorized into Velocity, Efficiency, and Quality.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

Alation

JANUARY 26, 2023

Data is a key asset for businesses in the modern world. Used correctly, it can improve internal operations, power marketing strategies, and much more. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. This is why data also needs to be compliant.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

IBM Big Data Hub

SEPTEMBER 15, 2023

These disclosures will need to be filed as part of the company annual 10-K statements, potentially as soon as the 2024 fiscal year if the final ruling is published by October 2023 as currently expected. For example, the regulated disclosures could be anything from estimates around Scope 3 emissions, to investor-grade data.

Risk 75

Risk Reporting Data-driven Publishing 75

DataKitchen

APRIL 26, 2021

In early April 2021, DataKItchen sat down with Jonathan Hodges, VP Data Management & Analytics, at Workiva ; Chuck Smith, VP of R&D Data Strategy at GlaxoSmithKline (GSK) ; and Chris Bergh, CEO and Head Chef at DataKitchen, to find out about their enterprise DataOps transformation journey, including key successes and lessons learned.

Measurement 246

Measurement Metrics Data-driven Testing 246

IBM Big Data Hub

JANUARY 8, 2024

Stage 4 – Transformative business strategy A broader range of users are able to access and process event streams to understand their relevance in a business context.  It includes a built-in schema registry to validate event data from applications as expected, improving data quality and reducing errors.

Data-driven 76

Data-driven Management Advertising Enterprise 76

Jet Global

SEPTEMBER 26, 2023

Data Cleansing Imperative: The same report revealed that organizations recognized the importance of data quality, with 71% expressing concerns about data quality issues. This underscores the need for robust data cleansing solutions.

Data Quality 52

Data Quality Reporting Management Software 52

Jet Global

MAY 9, 2024

ETL pipelines are commonly used in data warehousing and business intelligence environments, where data from multiple sources needs to be integrated, transformed, and stored for analysis and reporting. For example, retail companies can monitor sales transactions as they occur to optimize inventory management and pricing strategies.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Alation

AUGUST 17, 2022

Data governance policy should be owned by the top of the organization so data governance is given appropriate attention — including defining what’s a potential risk and what is poor data quality.” It comes down to the question: What is the value of your data?

Data Governance 92

Data Governance Risk Data-driven Measurement 92

Peter James Thomas

JANUARY 8, 2020

The recently launched Data Strategy Review Service is just one example. White Papers can be based on themes arising from articles published here, they can feature findings from de novo research commissioned in the data arena, or they can be on a topic specifically requested by the client.

Consulting 61

Consulting Data-driven Publishing Data Strategy 61

TDAN

JUNE 21, 2022

Twenty-five years ago today, I published the first issue of The Data Administration Newsletter. It only took a few months to recognize that there was an audience for an “online” publication focused on data administration. […].

Publishing 78

Publishing Data Quality Data Architecture IT 78

datapine

APRIL 15, 2020

When it comes to implementing and managing a successful BI strategy we have always proclaimed: start small, use the right BI tools , and involve your team. You need to determine if you are going with an on-premise or cloud-hosted strategy. You want an organization-wide buy-in of your business intelligence strategy.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

O'Reilly on Data

MARCH 31, 2020

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. AI product estimation strategies.

Management 327

Management Machine Learning Experimentation Metrics 327

Jet Global

MARCH 14, 2024

Jet’s interface lets you handle data administration easily, without advanced coding skills. You don’t need technical skills to manage complex data workflows in the Fabric environment. Robust Security Jet Analytics prioritizes your data security within the Microsoft Fabric ecosystem.

Analytics 52

Analytics Management Reporting Enterprise 52

BI-Survey

MARCH 4, 2022

Acceptance and lip service may have been paid to a data strategy, but the application of the strategy is fraught with hurdles. The realization comes soon enough: Data culture and its manifestation in the day-to-day running of the business can make or all too often break any carefully crafted strategies.

Data-driven 52

Data-driven Data Strategy Data Governance Strategy 52

Smart Data Collective

SEPTEMBER 25, 2019

However, according to a 2018 North American report published by Shred-It, the majority of business leaders believe data breach risks are higher when people work remotely. Indeed, encryption alone does not guarantee this, but it’s something you can and should use as part of an overall strategy.

Technology 85

Technology Statistics Strategy Insurance 85

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

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52