Anmut

MARCH 22, 2023

Data maturity models are a crucial step for any organisation looking to improve their data, informing if your current data practices are helping, or holding back, your business. ? Organisations that reach the highest stage of data maturity achieve a market value increase of up to 500%, compared to lower maturity organisations.

Measurement 52

Measurement Modeling Data Quality Data Governance 52

Andrew White

OCTOBER 23, 2020

Almost every organization I spoke to is struggling with data and analytics and trying to work out how to re-engineer how their business leaders take decisions. Topics : (broader/full) Data and Analytics Strategy 20. Data and Analytics Governance and/or MDM 15. Data Management 4. Data Monetization 1. Innovation 1.

IT 52

IT Digital Transformation Recreation/Entertainment Data Quality 52

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Andrew White

MAY 4, 2020

As a result, Data, Analytics and AI are in even greater demand. Demand from all these organizations lead to yet more data and analytics. In the realm of AI and Machine Leaning, data is used to train models to help explore specific business issues or questions. With data comes quality issues. Everything Changes.

Uncertainty 90

Uncertainty Data Quality Consulting Predictive Modeling 90

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. TDWI – David Loshin.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

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. Business people want more data than ever.

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

bridgei2i

NOVEMBER 8, 2021

At BRIDGEi2i, we conducted a webinar with esteemed guest – Nicholas Stamp Miller – Senior Director, Global Planning Strategy, Insights & Analytics, Automation Anywhere. Transformation isn’t restricted to people, processes, or technology, but there’s an integral fourth dimension: Data.’.

Enterprise 52

Enterprise B2B Sales Cost-Benefit 52

CDW Research Hub

AUGUST 12, 2020

What is your organization doing to protect the value of your data? A strong data governance strategy helps ensure that your data is usable, accessible and protected, guaranteeing trust in the quality and consistency of the data. But creating a data governance program is not something you can do overnight.

Data Governance 52

Data Governance Data-driven Dashboards Strategy 52

Jedox

OCTOBER 22, 2020

The term “data analytics” refers to the process of examining datasets to draw conclusions about the information they contain. Data analysis techniques enhance the ability to take raw data and uncover patterns to extract valuable insights from it. Data analytics is not new.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Andrew White

OCTOBER 21, 2019

What I found most interesting during the key note was the prominent position data and analytics took. The lack of trust in data; data being siloed and hard to find or get at. The lack of trust in data; data being siloed and hard to find or get at. Gut feel and emotion over practical data-driven insights.

Technology 56

Technology IT Data-driven Consulting 56

Occam's Razor

AUGUST 22, 2011

Be data driven?" Six Rules For Creating A Data Driven Boss! Be data driven?" Slay The Analytics Data Quality Dragon & Win Your HiPPO's Love! Web Data Quality: A 6 Step Process To Evolve Your Mental Model. The Ultimate Web Analytics Data Reconciliation Checklist.

KPI 124

KPI Metrics Measurement ROI 124

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Anmut

APRIL 6, 2021

Enterprise digital transformation and data. Most organisations undergoing a digital transformation understand that data is critical, but how many are actually managing data as an asset ? Your data isn’t fit for purpose. You need to regard your data as a specific asset. So, how can you treat data as an asset?

Digital Transformation 52

Digital Transformation Enterprise Data Quality Data-driven 52

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. There were 80 or so questions or comments posted and I was not able to respond to all of them live in the webinar so here are the verbatim questions and an individual response to each on. I hope they are helpful.

Analytics 64

Analytics Measurement Modeling Data-driven 64

erwin

FEBRUARY 4, 2021

Better decision-making has now topped compliance as the primary driver of data governance. However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Data Governance Bottlenecks. Sources, like IoT.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Cloudera

AUGUST 30, 2022

Data is the fuel that drives government, enables transparency, and powers citizen services. That should be easy, but when agencies don’t share data or applications, they don’t have a unified view of people. Legacy data sharing involves proliferating copies of data, creating data management, and security challenges.

Data Architecture 75

Data Architecture Data Lake Metadata Data Warehouse 75

erwin

APRIL 4, 2019

A strong data governance framework is central to the success of any data-driven organization because it ensures this valuable asset is properly maintained, protected and maximized. But despite this fact, enterprises often face push back when implementing a new data governance initiative or trying to mature an existing one.

Data Governance 75

Data Governance Data Quality Risk Management Data-driven 75

Alation

MAY 4, 2023

Are you an aspiring data scientist , or just want to understand the benefits of integrating data catalogs with visualization tools? In today’s ever-growing world of data, having an easy way to gain insights quickly is essential. It helps them effectively capture, store, manage, and share data assets.

Visualization 52

Visualization Metadata Data Governance KPI 52

Alation

AUGUST 11, 2021

It’s time to migrate your business data to the Snowflake Data Cloud. To answer this question, I recently joined Anthony Seraphim of Texas Mutual Insurance Company (TMIC) and David Stodder of TDWI on a webinar. The three of us talked migration strategy and the best way to move to the Snowflake Data Cloud.

Data Governance 52

Data Governance Insurance Metadata Strategy 52

Alation

MAY 4, 2023

Are you an aspiring data scientist , or just want to understand the benefits of integrating data catalogs with visualization tools? In today’s ever-growing world of data, having an easy way to gain insights quickly is essential. It helps them effectively capture, store, manage, and share data assets.

Visualization 40

Visualization Metadata Data Governance KPI 40

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. Data resides everywhere in a business , on-premise and in private or public clouds. A single source of data truth helps companies begin to leverage data as a strategic asset.

Modeling 98

Modeling Metadata Data Governance Visualization 98

Ontotext

JULY 29, 2021

The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. And what are the commercial implications of semantic technologies for enterprise data? Source: tag.ontotext.com.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

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.

Metadata 52

Metadata IT Metrics Data-driven 52

Alation

DECEMBER 2, 2022

Data-driven decision-making (DDDM) is the process of using trusted data and insights to drive tactical business decisions that support key goals. Data analysts , scientists , stewards , engineers , and business leaders are just some of the core user groups for DDDM. By contrast, ignoring data leads to grave mistakes.

Data-driven 52

Data-driven Insurance ROI Metadata 52

erwin

AUGUST 31, 2023

Q: Is data modeling cool again? In today’s fast-paced digital landscape, data reigns supreme. The data-driven enterprise relies on accurate, accessible, and actionable information to make strategic decisions and drive innovation. A: It always was and is getting cooler!!

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Alation

NOVEMBER 23, 2021

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. This is the final post in a four-part series discussing data culture.

Data Governance 52

Data Governance Data-driven Data Processing Consulting 52

CDW Research Hub

SEPTEMBER 15, 2020

Data is a valuable asset that can help businesses reduce costs, make informed decisions, and better understand what their customers need. However, data can easily become useless if it is trapped in an outdated technology. Another critical step is to create a framework to integrate your data. Build a Best of Breed Data Platform.

Business Intelligence 52

Business Intelligence Prescriptive Analytics Unstructured Data Data Warehouse 52

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. Ooo good question.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Alation

MAY 27, 2021

For data-driven enterprises, data governance is no longer an option; it’s a necessity. Businesses are growing more dependent on data governance to manage data policies, compliance, and quality. For these reasons, a business’ data governance approach is essential. Data Democratization.

Data Governance 98

Data Governance Data Quality Enterprise Risk 98

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you have proper data management without establishing a formal data governance program? Establishing a solid vision and mission is key.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Jet Global

NOVEMBER 14, 2023

In today’s data-driven world, having accurate, timely insights into data is critical. When your operational and financial reporting teams are extracting and transforming Oracle E-Business Suite (EBS) data, it can be a complex, cumbersome task and they need a way to handle data that empowers them to overcome reporting obstacles.

Reporting 52

Reporting Finance Operational Reporting Dashboards 52

Jet Global

APRIL 14, 2022

When the time comes for month-end reporting, ERPs like Yardi manage and compartmentalize data with out of the box reports. Because outsourcing requires communication and data exchange between different companies, this option is even more cumbersome. Improve data quality. Finance teams are driven by an analytics mindset.

Data Collection 52

Data Collection Management Finance Reporting 52