DataKitchen

DECEMBER 7, 2023

Do you have data quality issues, a complex technical environment, and a lack of visibility into production systems? These challenges lead to poor quality analytics and frustrated end users. Getting your data reliable is a start, but many other problems arise even if your data could be better.

Uncertainty 130

Uncertainty Data Quality Dashboards Analytics 130

CIO Business Intelligence

NOVEMBER 18, 2024

If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless. By partnering with industry leaders, businesses can acquire the resources needed for efficient data discovery, multi-environment management, and strong data protection.

Data-driven 111

Data-driven Machine Learning ROI Uncertainty 111

DataKitchen

APRIL 11, 2023

The conversation then moved to the importance of logistics and data quality in analytics, particularly in the pharmaceutical industry. James highlighted the need for a reliable data chain to ensure the end analyst can focus on delivering value. This includes working on data quality testing and structuring data for easy access.

Data Analytics 130

Data Analytics Analytics Cost-Benefit Data Quality 130

DataKitchen

MAY 7, 2024

DataKitchen Training And Certification Offerings For Individual contributors with a background in Data Analytics/Science/Engineering Overall Ideas and Principles of DataOps DataOps Cookbook (200 page book over 30,000 readers, free): DataOps Certificatio n (3 hours, online, free, signup online): DataOps Manifesto (over 30,000 signatures) One (..)

Data Quality 161

Data Quality Testing Consulting Metrics 161

CIO Business Intelligence

NOVEMBER 19, 2024

They are often unable to handle large, diverse data sets from multiple sources. Another issue is ensuring data quality through cleansing processes to remove errors and standardize formats. Staffing teams with skilled data scientists and AI specialists is difficult, given the severe global shortage of talent.

Analytics 97

Analytics Cost-Benefit Finance Data-driven 97

TDAN

OCTOBER 18, 2022

Last week, we presented a webinar in our Data Governance — Best Practices series on data quality. Obviously, we’re a […].

Data Quality 52

Data Quality Data Governance Data Strategy Strategy 52

DataKitchen

FEBRUARY 23, 2024

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability The Need For Personalized Data Journeys for Your Data Consumers Data Teams and Their Types of Data Journeys Webinar: Data Journey: The Missing Piece.

Testing 117

Testing Data-driven Data Quality Metrics 117

erwin

APRIL 16, 2021

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. erwin Data Intelligence. Predictability. Synchronicity.

Data Governance 128

Data Governance Metadata Cost-Benefit Data-driven 128

erwin

MARCH 4, 2021

But when IT-driven data management and business-oriented data governance work together in terms of both personnel, processes and technology, decisions can be made and their impacts determined based on a full inventory of reliable information. You can request a demo of erwin Data Intelligence here. Join us March 15 at 10 a.m.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

erwin

MARCH 25, 2021

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, the second webinar focused on “ The Value of Data Governance & How to Quantify It.”.

Data Governance 109

Data Governance Cost-Benefit IT Risk 109

erwin

JULY 22, 2020

Fostering organizational support for a data-driven culture might require a change in the organization’s culture. Recently, I co-hosted a webinar with our client E.ON , a global energy company that reinvented how it conducts business from branding to customer engagement – with data as the conduit. As an example, E.ON

Data-driven 136

Data-driven Data Governance Digital Transformation Data Processing 136

erwin

FEBRUARY 13, 2020

And with a solid framework for automation , organizations can generate metadata every time data is captured at a source, accessed by users, moved through an organization, integrated or augmented with other data from other sources, profiled, cleansed and analyzed.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

DataKitchen

MARCH 18, 2024

James Royster said it best in a recent webinar : “ All of us (on data teams) live on that knife’s edge, right? Automated data quality pays enormous dividends. The lifesaving products and the people at those companies made them a success. But we played a small part in making them a big success.

Data Quality 23

Data Quality Dashboards Data Analytics Strategy 23

erwin

FEBRUARY 4, 2021

As we zeroed in on the bottlenecks of day-to-day operations, 25 percent of respondents said length of project/delivery time was the most significant challenge, followed by data quality/accuracy is next at 24 percent, time to value at 16 percent, and reliance on developer and other technical resources at 13 percent.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. It really does. Great idea.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

DataKitchen

JUNE 27, 2022

Chris Bergh shares how to manage data quality and pipeline risk through implementing a 'Mission Control' center for DataOps. The post DataOps Risk Insurance & Mission Control first appeared on DataKitchen.

Insurance 130

Insurance Risk Data Quality Management 130

DataKitchen

OCTOBER 11, 2021

Based on business rules, additional data quality tests check the dimensional model after the ETL job completes. While implementing a DataOps solution, we make sure that the pipeline has enough automated tests to ensure data quality and reduce the fear of failure. Adding Tests to Reduce Stress. About the Author.

Testing 152

Testing Metadata Dashboards Statistics 152

Octopai

JANUARY 19, 2020

Metadata Management is the Key to Successful Data Governance Learn more in the webinar, "Metadata Management Automation for the Governance Minded" Watch the Webinar! – Guarantees completeness when it can be discovered and cataloged across the entire data landscape. BCBS 239 and Automated Metadata Management Tools.

Metadata 89

Metadata Risk Management Business Intelligence Data Governance 89

CIO Business Intelligence

MARCH 9, 2022

Organizations around the world are using Dell Technologies and Cloudera to deliver leading-edge data analytics solutions that enable customers to capitalize more fully on the massive amounts of data they generate and capture every day, to keep them innovating and competitive. . Intel® Technologies Move Analytics Forward.

Data-driven 110

Data-driven Analytics Machine Learning Deep Learning 110

Octopai

JANUARY 31, 2021

Among many topics, they explain how data lineage can help rectify bad data quality and improve data governance. . Phillip Russom is the director of TDWI (Transforming Data With Intelligence) Research for data management and he oversees many services, events and research-centered publications.

Data Governance 83

Data Governance Data Processing Data Quality Metadata 83

CIO Business Intelligence

JULY 28, 2023

Modern data platforms can stop enterprises from drowning in a sea of data by integrating AI and ML to enable more efficient, accessible data. It is imperative to keep up with continually changing data management requirements, security policies, and compliance.

Risk 98

Risk Management Data mining Cost-Benefit 98

Andrew White

MAY 4, 2020

So conventional wisdom (see second example below) was that you needed to focus heavily on a broad data quality program. The issue for this first example however is not data quality; it’s about the data. They need to be (see webinar: Effective Data and Analytics Governance – Finally! ).

Uncertainty 90

Uncertainty Data Quality Consulting Predictive Modeling 90

Timo Elliott

JANUARY 4, 2021

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. You can watch the webinar here (registration required) to learn how to conduct FP&A storytelling in order to enhance fact-based decision making. The key takeaways. But technology can help!

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

erwin

APRIL 4, 2019

Some other common data governance obstacles include: Questions about where to begin and how to prioritize which data streams to govern first. Issues regarding data quality and ownership. Concerns about data lineage. FREE WEBINAR]. Data Governance: Implementation and Evolution.

Data Governance 75

Data Governance Data Quality Risk Management Data-driven 75

CIO Business Intelligence

JUNE 14, 2023

The certification focuses on the seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle management. They know how to assess data quality and understand data security, including row-level security and data sensitivity.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

MARCH 14, 2022

For a detailed look at how the right technology can help turn your organization’s real-time data into revenue, check out the 4 Tips for Processing Real-Time Data paper and watch the webinar. . Data analytics is the key to unlocking the most value you can extract from data across your organization.

Data Processing 116

Data Processing Deep Learning Optimization Software 116

CIO Business Intelligence

JANUARY 22, 2024

A healthcare payer or provider must establish a data strategy to define its vision, goals, and roadmap for the organization to manage its data. Next is governance; the rules, policies, and processes to ensure data quality and integrity. This is the overarching guidance that drives digital transformation.

Unstructured Data 98

Unstructured Data Digital Transformation Data Strategy Modeling 98

Alation

MAY 27, 2021

As governance becomes a burden, analyst productivity decreases, which often results in diminished data quality. If the analyst and other data users are supported by governance policies that work with them in mind, data quality can be maintained throughout the cycle of gathering, storing, and analyzing.

Data Governance 98

Data Governance Data Quality Enterprise Machine Learning 98

Andrew White

OCTOBER 22, 2020

How CDOs Can Use Data Storytelling to Engage and Influence Stakeholders. Toolkit: Chief Data Officer Job Description. Overall Data and Analytics Strategy: Recorded Webinar: Emerging Practices for a Data-driven Strategy. Toolkit: Creating a Modern Data and Analytics Strategy and Operating Model.

IT 52

IT Recreation/Entertainment Data Quality Data-driven 52

Octopai

JULY 12, 2020

An enormous amount of time was being wasted performing manual searches, as the BI team needed to frequently comb through the enterprise data warehouse’s fields to determine how each was calculated or to find their sources. Manual Data Mapping Slows Progress for BI & Analytics Teams.

Data Warehouse 84

Data Warehouse Data Quality Metadata Risk Management 84

Andrew White

OCTOBER 23, 2020

D&A Leadership/Chief Data Officer: Leadership Vision for 2021: Data and Analytics. How CDOs Can Use Data Storytelling to Engage and Influence Stakeholders. Toolkit: Chief Data Officer Job Description. Overall Data and Analytics Strategy: Recorded Webinar: Emerging Practices for a Data-driven Strategy.

IT 52

IT Digital Transformation Recreation/Entertainment Data Quality 52

Anmut

APRIL 6, 2021

Another survey from Experian found 68% of businesses are impacted by poor data quality during these transformation initiatives, where duplicate data and mismanagement are key challenges. According to Gartner , “the average financial impact of poor data quality on organisations is $9.7 Why data assets matter .

Digital Transformation 52

Digital Transformation Enterprise Data Quality Data-driven 52

Cloudera

AUGUST 30, 2022

For state and local agencies, data silos create compounding problems: Inaccessible or hard-to-access data creates barriers to data-driven decision making. Legacy data sharing involves proliferating copies of data, creating data management, and security challenges.

Data Architecture 79

Data Architecture Data Lake Data Warehouse Metadata 79

Octopai

APRIL 19, 2021

Donna Burbank is a Data Management Consultant and acts as the Managing Director at Global Data Strategy, Ltd. Her Twitter page is filled with interesting articles, webinars, reports, and current news surrounding data management. Every day, members post about upcoming webinars and share their latest articles.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

Cloudera

DECEMBER 15, 2022

With in-place table migration, you can rapidly convert to Iceberg tables since there is no need to regenerate data files. Newly generated metadata will then point to source data files as illustrated in the diagram below. . Data quality using table rollback. Read why the future of data lakehouses is open.

Metadata 80

Metadata Data Warehouse Snapshot Machine Learning 80

erwin

MAY 18, 2022

First, erwin Data Intelligence 12.0 delivers new integrated data quality capabilities for customers. Customers then use the erwin Data Quality platform to automate the data discovery, profiling and quality assessment of their data sources. Figure 1: erwin Data Intelligence 12.0

Data Quality 52

Data Quality Metadata Data Governance Software 52