erwin

APRIL 29, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (API)s, file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data. Data Quality.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

AWS Big Data

NOVEMBER 9, 2023

As part of their cloud modernization initiative, they sought to migrate and modernize their legacy data platform. This popular open-source tool for data warehouse transformations won out over other ETL tools for several reasons. The tool also offered desirable out-of-the-box features like data lineage, documentation, and unit testing.

Data Warehouse 108

Data Warehouse Testing Data Quality Reporting 108

CIO Business Intelligence

APRIL 8, 2024

Digital Athlete draws data from players’ radio frequency identification (RFID) tags, 38 5K optical tracking cameras placed around the field capturing 60 frames per second, and other data such as weather, equipment, and play type. million video frames and documents about 100 million locations and positions of players on the field.

Analytics 118

Analytics Broadcasting Predictive Analytics Metrics 118

erwin

SEPTEMBER 17, 2020

According to erwin’s “2020 State of Data Governance and Automation” report , close to 70 percent of data professional respondents say they spend an average of 10 or more hours per week on data-related activities, and most of that time is spent searching for and preparing data.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

CIO Business Intelligence

MAY 15, 2024

Even if you don’t have the training data or programming chops, you can take your favorite open source model, tweak it, and release it under a new name. According to Stanford’s AI Index Report, released in April, 149 foundation models were released in 2023, two-thirds of them open source. And there are an insane number of variants.

Modeling 135

Modeling Risk Software Enterprise 135

Octopai

MAY 15, 2023

Data lineage helps identify redundant or inefficient data integration steps, allowing organizations to streamline their processes and reduce development, maintenance, and operational costs associated with ETL. Data quality costs: Poor data quality can result in significant costs for organizations.

Data Quality 52

Data Quality Data Governance Data Integration Risk 52

Grooper

APRIL 9, 2020

The heart of digital transformation is data, and organizations without a clear strategy for data curation and enrichment from documents are at risk of failed transformation and missing out on massive revenue opportunities. The way we’ve thought about curating data from documents over the years is fundamentally flawed.

Digital Transformation 65

Digital Transformation Data Quality Enterprise Risk 65

CIO Business Intelligence

JANUARY 9, 2024

The October 2023 CEO Outlook Pulse from professional services firm EY reported that 99% of chief executives were planning to invest in generative AI. That’s the question many CIOs are asking, as some report they are now the ones raising points about business needs and business value whenever there’s a demand for an AI solution.

IT 140

IT Risk Cost-Benefit Enterprise 140

erwin

JANUARY 30, 2020

The 2020 State of Data Governance and Automation (DGA) report is a follow-up to an initial survey we commissioned two years ago to explore data governance ahead of the European Union’s General Data Protection Regulation (GDPR) going into effect. 1 reason to implement data governance.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

IT 52

IT Metadata Data Quality Data Governance 52

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

DataRobot Blog

MAY 10, 2022

The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States. This is confirmed by SR 11-7, which asserts that model risk arises from the “ adverse consequences from decisions based on incorrect or misused model outputs and reports.”

Risk 64

Risk Modeling Machine Learning Data Quality 64

erwin

FEBRUARY 13, 2020

The numerous data types and data sources that exist today weren’t designed to work together, and data infrastructures have been cobbled together over time with disparate technologies, poor documentation and little thought for downstream integration. Finding metadata, “the data about the data,” isn’t easy.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

Alation

FEBRUARY 14, 2023

According to the Gartner report, The State of Data and Analytics Governance is Worse Than You Think , 80% of businesses acknowledge that high quality governance is essential to achieving long-term business goals. What % of data is or isn’t assigned to a domain? What % of columns have data quality rules implemented?

Data Governance 52

Data Governance ROI Metrics Cost-Benefit 52

datapine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. 4) How can you ensure data quality?

IT 317

IT Statistics KPI Data-driven 317

Alation

DECEMBER 21, 2022

Master Data Management (MDM) and data catalog growth are accelerating because organizations must integrate more systems, comply with privacy regulations, and address data quality concerns. What Is Master Data Management (MDM)? Data Catalog and Master Data Management. Assess Data Quality.

Management 52

Management Data Quality Metadata Testing 52

IBM Big Data Hub

FEBRUARY 9, 2023

Once you have a clear understanding of business objectives and data needs, set data governance goals and priorities. An effective and efficient data governance program will support your organization’s growth and competitive advantage. So where are you in your data governance journey?

Data Governance 81

Data Governance Business Objectives Strategy Data Quality 81

CIO Business Intelligence

MARCH 24, 2023

Overcoming data challenges Despite their growing commitment to ESG, financial firms have learned the path to sustainability and prosperity can be rocky. “ESG ESG data quality is the biggest challenge. revenue growth from businesses showing a lower commitment to ESG. Emerging technologies will further speed ESG progress.

Risk Management 52

Risk Management Consulting Metrics Data Quality 52

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? Inconsistencies in expectations can create enormous negative issues regarding data quality and governance.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

Juice Analytics

APRIL 6, 2021

Habit 2: Create a shared vocabulary for your data What is an “active user”? These are terms that need to be carefully defined and documented so we can move on to how we are going to improve them. Val Logan of The Data Lodge is one of the premier thinkers on how organizations can build shared skills in using data.

Metrics 119

Metrics Dashboards Data-driven Data Quality 119

Jet Global

AUGUST 23, 2021

Used primarily in a strategic context by corporate Finance Divisions and Boards of Directors, financial statements are key documents that must be prepared and produced with care. Here are the challenges faced: The accuracy of reports must always be checked. Manage data from diverse systems. Improve collaborative measures.

Finance 52

Finance Reporting Data Collection Data Quality 52

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Ontotext

MAY 2, 2024

Data products – optimization of data assets that drive business, improving data quality and interoperability. It took 4 months from deciding that a drug was valuable to submitting the report. Another complication was the existing data silos.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Smart Data Collective

JULY 15, 2021

It helps you locate and discover data that fit your search criteria. With data catalogs, you won’t have to waste time looking for information you think you have. What Does a Data Catalog Do? Advanced data catalogs can update metadata based on the data’s origins. How Does a Data Catalog Impact Employees?

Metadata 126

Metadata IT Data-driven Data Quality 126

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

Cloudera

NOVEMBER 15, 2021

The rate of data growth is reflected in the proliferation of storage centres. For example, the number of hyperscale centres is reported to have doubled between 2015 and 2020. And data moves around. Cisco estimates that global IP data traffic has grown 3-fold between 2016 and 2021, reaching 3.3 Data curation.

Unstructured Data 86

Unstructured Data Recreation/Entertainment Structured Data Reporting 86

DataKitchen

FEBRUARY 21, 2023

Too many teams have fragile, unmonitored production systems causing users to find problems with the data or reports. Summary: 10x your data engineering game. Gartner included a Strategic Planning assumption in the document that estimates the value. “By

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

FineReport

APRIL 26, 2023

The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Top 10 Big Data Tools 1. The most distinct is its reporting capabilities.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Alation

MAY 17, 2022

An enterprise data catalog is one such key asset. The Data Analyst Workflow. The workflow of a data analyst consists of four key stages: Discovery. When a businessperson poses a question to an analyst, the analyst starts by trying to find the right data. 7 Steps that Benefit from a Data Catalog. Preparation.

Metadata 52

Metadata Data Quality Machine Learning Reporting 52

Alation

AUGUST 17, 2022

And while IT should never be the data owner for business data, research from Digital Trailblazer author and former CIO Isaac Sacolick shows that 40 percent of business leaders “just want IT to fix the data and deliver reports.” It comes down to the question: What is the value of your data?

Data Governance 92

Data Governance Risk Data-driven Measurement 92

CIO Business Intelligence

JANUARY 30, 2024

Corporate ESG reporting is getting real for companies around the globe. Enacted and proposed regulations in the EU, US, and beyond are deepening reporting requirements in an effort to change business behavior. The foundation for ESG reporting, of course, is data. The foundation for ESG reporting, of course, is data.

Reporting 115

Reporting Data Quality Strategy Data-driven 115

Ontotext

NOVEMBER 9, 2023

While everyone may subscribe to the same design decisions and agree on an ontology, there may be differences in the data quality. In such situations, data must be validated. Some reasoners are implemented to also be able to check for OWL constraint compliance, but there is no standardized way to report the violations.

Data Quality 64

Data Quality Testing Reporting Metadata 64

Jet Global

MAY 1, 2020

Recently released is a report by Gartner about all the things that can go wrong in your BI implementation. In Gartner’s report, an analyst goes to great pains to say that there is “much more risk associated to non-technology issues than there is to deploying the infrastructure, tools, and apps.”. Data quality issues.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

erwin

JANUARY 11, 2019

A company can’t effectively implement data governance – documenting and applying business rules and processes, analyzing the impact of changes and conducting audits – if it fails at data management. The problem usually starts by relying on manual integration methods for data preparation and mapping.

Data Governance 40

Data Governance Risk Metadata Management 40

Alation

JULY 15, 2022

Data as an Insight: Operational Transformation. Under GDPR Article 30, the Record of Processing Activity (ROPA) document needs to be created and maintained. This effectively collates every process in an organisation that uses personal data, the type of personal data, what the process does, etc. The mandate.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

Sanjeev Mohan

FEBRUARY 6, 2019

Then in the middle of 2017, a realization set in that we were one year away from GDPR and needed to focus on data governance. I ended up writing two documents on data governance. To address client questions about cloud, I wrote a document on GCP. The post Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline?

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49