erwin

MAY 13, 2020

The role of data modeling (DM) has expanded to support enterprise data management, including data governance and intelligence efforts. After all, you can’t manage or govern what you can’t see, much less use it to make smart decisions. Types of Data Models: Conceptual, Logical and Physical.

Data Governance 93

Data Governance Modeling Enterprise Management 93

Octopai

JUNE 26, 2020

In order to figure out why the numbers in the two reports didn’t match, Steve needed to understand everything about the data that made up those reports – when the report was created, who created it, any changes made to it, which system it was created in, etc. Enterprise data governance. Metadata in data governance.

Metadata 84

Metadata Data Governance Enterprise Reporting 84

Smarten

MARCH 12, 2020

Self-Serve Data Prep: You Can Have Data Agility AND Data Governance! When you are considering an augmented analytics solution, you will want to look at the capabilities for self-serve data preparation (SSDP).

Data Governance 67

Data Governance Predictive Modeling Data-driven Visualization 67

Alation

APRIL 5, 2022

Data Management Meets Human Management. A well-oiled data governance machine comprises many parts, but what’s the most vital component? You and anyone else at your organization who uses data. Make it personable, make it reasonable, and help them understand they play a big role in data governance.”.

Data Governance 52

Data Governance Enterprise Management Data Quality 52

Octopai

JUNE 24, 2019

There are a number of scenarios that necessitate data governance tools. Businesses operating within strict industry regulations, utilizing analytics software, and/or regularly consolidating data in key subject areas will find themselves looking into data governance tools to help them achieve their goals.

Data Governance 42

Data Governance Metadata Unstructured Data Software 42

FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management. This proactive stance safeguards against erroneous insights or decisions driven by flawed or incomplete datasets.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Octopai

APRIL 24, 2023

This new native integration enhances our data lineage solution by providing seamless integration with one of the most powerful cloud-based data warehouses, benefiting data teams and enabling support for a broader range of data lineage, discovery, and catalog.

Cost-Benefit 96

Cost-Benefit Data-driven Data Warehouse Data Governance 96

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. In some ways, the data architect is an advanced data engineer.

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

DataKitchen

JANUARY 5, 2021

Execution of this mission requires the contribution of several groups: data center/IT, data engineering, data science, data visualization, and data governance. Each of the roles mentioned above views the world through a preferred set of tools: Data Center/IT – Servers, storage, software.

Testing 147

Testing Data Governance Metadata Visualization 147

erwin

JULY 22, 2020

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. There’s no doubt E.ON, based in Essen, Germany, has established one of the most comprehensive and successful data governance programs in modern business.

Data-driven 136

Data-driven Data Governance Digital Transformation Enterprise 136

AWS Big Data

NOVEMBER 15, 2023

You can learn about data integration technologies and strategies with sessions such as ANT326: Set up a zero-ETL based analytics architecture for your organizations, ANT331: Build an end-to-end data strategy for analytics and generative AI, and ANT218: Unified and integrated near real-time analytics with zero-ETL.

Broadcasting 111

Broadcasting Recreation/Entertainment Data Governance Strategy 111

FineReport

APRIL 9, 2024

The integration of AI and machine learning into BI tools is revolutionizing the processing and analysis of data, propelling organizations toward more accurate forecasting and proactive decision-making. In addition to these advancements, another prominent trend in data analysis is the growing impact of data visualization.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

erwin

FEBRUARY 28, 2024

One of the key ingredients to ensure data is really embedded in an organization, and one of the key enablers to increase the strategic impact of data, is the setup of a successful data governance program. Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool.

Metadata 52

Metadata Data Governance Data Quality Technology 52

CIO Business Intelligence

MAY 10, 2023

So we have a visualization layer where we teach different groups within our organization to learn. It’s evolved from over the past four years from having nothing and siloed data sets of spreadsheets and everyone doing their own thing, to being centralized based on KPIs and the trust in what they receive from the data.

Data-driven 105

Data-driven IT Digital Transformation Data Governance 105

David Menninger's Analyst Perspectives

AUGUST 11, 2022

The analytics and business intelligence market landscape continues to grow as more organizations seek robust tools and capabilities to visualize and better understand data. BI systems are used to perform data analysis, identify market trends and opportunities and streamline business processes.

Business Intelligence 239

Business Intelligence Analytics Visualization Marketing 239

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend data integration software offers an open and scalable architecture and can be integrated with multiple data warehouses, systems and applications to provide a unified view of all data. Its code generation architecture uses a visual interface to create Java or SQL code.

Management 311

Management Data Warehouse Data Quality Data Integration 311

erwin

DECEMBER 3, 2020

Ultra Mobile recently shared how it uses erwin Data Intelligence (erwin DI) as part of a modern, ongoing approach to data governance and therefore control versus chaos. Being able to integrate all data touchpoints, including erwin DM for data modeling, Denodo for data visualization, and Jira for ticketing, has been key.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. privacy policies) are applied to enterprise data.

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

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 Governance.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

DataKitchen

JUNE 12, 2023

The Customer Journey visually represents the total sum of experiences any given customer has with a brand. We continue to over-invest, as an industry, in the tools that run within our data estate. There are dozens of orchestrators, ETL Tools, databases, data science tools, data visualization tools, and data governance tools.

Testing 130

Testing Data Lake Dashboards Data Science 130

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

CIO Business Intelligence

JUNE 14, 2023

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. Candidates have 90 minutes to complete the exam.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Smart Data Collective

NOVEMBER 24, 2020

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Advantage: unpaired control over data. .

Business Intelligence 129

Business Intelligence Visualization Dashboards Prescriptive Analytics 129

CIO Business Intelligence

AUGUST 2, 2023

The layer cake metaphor shifts the data discussion from an IT discussion to the intersection of business strategy and technology. So it’s about how we create layers from the business concept, like advancing discovery, all the way down to a technology solution, like a visualization tool. Does the data live in one or many clouds?

Manufacturing 90

Manufacturing Data Architecture Strategy Data Strategy 90

Octopai

MAY 15, 2023

Enhance data governance: Data lineage provides transparency into data flows, transformations, and dependencies, supporting robust data governance practices. It is also crucial to regularly review and update the lineage information as data and processes evolve over time.

Data Quality 52

Data Quality Data Governance Data Integration Risk 52

erwin

AUGUST 6, 2020

Good Data = Good Decisions. Without good data, it’s difficult to make good decisions. Data access, literacy and knowledge leads to sound decision-making and that’s key to data governance and any other data-driven effort. Data literacy enables collaboration and innovation.

Contextual Data 135

Contextual Data Data Governance Digital Transformation Metadata 135

Octopai

JUNE 27, 2022

Your most technologically-challenged business user searches the data catalog at least once a week – without coming to you for help! Data catalog SUCCESS! Visualization may work wonders for athlete performance, but if you want to make data catalog adoption into a rousing success, you’re going to sweat a little bit.

Management 72

Management Metadata Visualization Data Governance 72

erwin

SEPTEMBER 6, 2021

No matter the percentage, dark data inhibits strategic and daily operational decision-making, increases organizational risk, reduces employee efficiency and lengthens the timelines of critical initiatives. To combat dark data and shine a light on available data, many organizations are turning to data intelligence software.

Enterprise 52

Enterprise Data Governance Dashboards Visualization 52

erwin

MARCH 30, 2020

To do this, the consortium will need the ability to automatically scan and catalog the data sources and apply strict data governance and quality practices. Unraveling Data Complexities with Metadata Management. Data profiling for data assessment, metadata discovery and data validation.

Metadata 122

Metadata IT Data Governance Data Quality 122

erwin

MAY 6, 2020

However, as we have seen with data surrounding the COVID situation itself, incorrect, incomplete or misunderstood data turn these “what-if” exercises into “WTF” solutions. Automate data management, data intelligence and data governance practices. Create always-available and always-transparent data pipelines.

Cost-Benefit 94

Cost-Benefit Data Governance Uncertainty Data-driven 94

CIO Business Intelligence

MAY 17, 2022

Aside from the more eye-catching analytics capabilities, Tableau is also adding some new data governance and management features to Tableau Cloud.

IT 96

IT Predictive Modeling Machine Learning Dashboards 96

Alation

JULY 19, 2021

This requires a metadata management solution to enable data search & discovery and data governance, both of which empower access to both the metadata and the underlying data to those who need it. In today’s world, metadata management best practices call for a data catalog. Administrative information.

Metadata 105

Metadata Management Data Governance Machine Learning 105

erwin

MARCH 1, 2022

You’ll see how erwin Data Modeler R12 makes it easy to: Find, visualize, design, deploy and standardize high-quality enterprise data assets. Discover and document any data from anywhere – all while supporting data governance and data intelligence efforts.

Modeling 52

Modeling Data Governance Visualization Enterprise 52

Alation

JUNE 22, 2021

The first post in the series defines data culture , its benefits, and the three pillars of data culture. The second and fourth posts take a deeper look at data search & discovery and data governance, respectively. What is Data Literacy? WARNING: if you teach people how to persuade with data (e.g.

Data Governance 64

Data Governance Data-driven Metadata Visualization 64

erwin

AUGUST 7, 2019

Data cataloging helps curate internal and external datasets for a range of content authors. Gartner says this doubles business benefits and ensures effective management and monetization of data assets in the long-term if linked to broader data governance , data quality and metadata management initiatives.

Metadata 90

Metadata Data Governance Data Quality Data Warehouse 90

Cloudera

MAY 22, 2023

Ideally you are realizing these benefits using Cloudera Data Catalog. In Tableau, we prefer to simply assign report ownership to a system user which prohibits further use while enabling us to easily restore it if requested and justified. If your visualization tool employs extract jobs, stop them, and note any database archival targets.

Statistics 74

Statistics Data-driven Reporting Dashboards 74

Octopai

JANUARY 19, 2020

It will not surprise you to learn all 11 of the bank-relevant principles are related to data in some form or fashion. Here’s a sampling: – Principle 1 covers data governance, including “a firm’s policies on data confidentiality, integrity, and availability, as well as risk-management policies.”.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61