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. By approaching data management with an eye on change management (i.e., ADKAR: The Model for Change.

Data Governance 52

Data Governance Enterprise Management Data Quality 52

erwin

JANUARY 24, 2020

There are three different types of data models: conceptual, logical and physical, and each has a specific purpose. Conceptual Data Models: High-level, static business structures and concepts. Logical Data Models: Entity types, data attributes and relationships between entities.

Modeling 143

Modeling Business Driver Sales Data-driven 143

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 132

Data Architecture Data Warehouse Statistics Visualization 132

erwin

JULY 11, 2019

At a fundamental level, digital transformation is about further synthesizing an organization’s operations and technology, so involving business architecture and process modeling is a best practice organizations cannot ignore. Business Process Modeling: The First Step to Giving Customers What They Expect. Data usage.

Digital Transformation 106

Digital Transformation Modeling Data Governance Visualization 106

Alation

JUNE 2, 2022

In part one of this series, I discussed how data management challenges have evolved and how data governance and security have to play in such challenges, with an eye to cloud migration and drift over time. These include tracking, documenting, monitoring, versioning, and controlling access to AI/ML models.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

erwin

MARCH 1, 2022

erwin ® Data Modeler is an enterprise data modeling tool, trusted for 30 years. You’ll see how erwin Data Modeler R12 makes it easy to: Find, visualize, design, deploy and standardize high-quality enterprise data assets. Webcast title: What’s New in erwin Data Modeler R12.

Modeling 52

Modeling Data Governance Visualization Enterprise 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

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. The exam consists of 65 multiple-choice or multiple-response questions, which the candidate has 180 minutes to complete.

Big Data 127

Big Data Data Analytics Analytics Predictive Modeling 127

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

erwin

DECEMBER 3, 2020

The answer is radical transformation, made possible by an intelligent, data-driven approach to: New business models. One Customer’s Journey to Controlling Data 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

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

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 98

Manufacturing Data Architecture Strategy Data Strategy 98

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.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

MAY 17, 2022

Tableau wants to make it easier for enterprise users to tell stories using their data with a set of new capabilities being added to Tableau Cloud, the new name for its software-as-a-service (SaaS) analytics platform. By harnessing these insights, even beginners can see beyond the what of their data and understand the why.

IT 98

IT Predictive Modeling Machine Learning Dashboards 98

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 132

Business Intelligence Visualization Dashboards Prescriptive Analytics 132

CIO Business Intelligence

NOVEMBER 21, 2023

Set parameters and emphasize collaboration To address one root cause of shadow IT, CIOs must also establish a governance and delivery model for evaluating, procuring, and implementing department technology solutions.

IT 137

IT Risk Cost-Benefit Risk Management 137

CIO Business Intelligence

AUGUST 9, 2023

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. Organizations need massive amounts of data to build and train generative AI models. In turn, these models will also generate reams of data that elevate organizational insights and productivity. Learn more here.

Unstructured Data 98

Unstructured Data Modeling Data Architecture Enterprise 98

erwin

MAY 7, 2020

Whereas a data architect’s scope, is mostly limited to the “What”(data), and from a system model/logical (level 3) perspective. The Value of Data Architecture. We’re working in a fast-paced digital economy in which data is extremely valuable. Data Architecture and Data Modeling.

Data Architecture 131

Data Architecture Enterprise Modeling Sales 131

erwin

MAY 6, 2020

In these times of great uncertainty and massive disruption, is your enterprise data helping you drive better business outcomes? The COVID-19 pandemic has forced organizations to tactically adjust their business models, work practices and revenue projections for the short term. Ensure company-wide data compliance (reduce risks).

Cost-Benefit 94

Cost-Benefit Data Governance Uncertainty Data-driven 94

Cloudera

NOVEMBER 1, 2022

Through modern data architectures powered by CDP, including Cloudera-enabled data fabric, data lakehouse, and data mesh , DoD agencies can rapidly provision and manage innovative data engineering, data warehouse, and machine learning environments, with access to secured supply chain data stored in CDP Private Cloud.

Cost-Benefit 90

Cost-Benefit Data Architecture Risk IoT 90

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

CIO Business Intelligence

JUNE 30, 2023

It’s well acknowledged that data, when used correctly, has the potential to be a strategic growth asset driving innovation – and with the recent developments in large language models (LLM) for AI, data is really having its day in the sun. And we’ll let you in on a secret: this means nailing your data strategy.

Internet of Things 104

Internet of Things Strategy Data Strategy Risk 104

datapine

SEPTEMBER 29, 2022

As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business. 2 – Data profiling. by rule, by date, by source, etc.).

Data Quality 241

Data Quality Metrics Data-driven Management 241

IBM Big Data Hub

JUNE 29, 2023

These tools can provide comprehensive functionality, data integration capabilities, scenario planning and modeling, and real-time reporting. A robust technology infrastructure is essential to gather, integrate, analyze, and disseminate data effectively across the organization.

Key Performance Indicator 85

Key Performance Indicator Forecasting Data Integration Sales 85

IBM Big Data Hub

DECEMBER 16, 2022

Because Alex can use a data catalog to search all data assets across the company, she has access to the most relevant and up-to-date information. She can search structured or unstructured data, visualizations and dashboards, machine learning models, and database connections. Protected and compliant data.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

FineReport

MAY 31, 2023

A financial dashboard, one of the most important types of data dashboards , functions as a business intelligence tool that enables finance and accounting teams to visually represent, monitor, and present financial key performance indicators (KPIs). Inaccurate or inconsistent data can lead to erroneous conclusions and decisions.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

erwin

AUGUST 20, 2020

It provides a visual blueprint, demonstrating the connection between applications, technologies and data to the business functions they support. In the age of data-driven business, the most common EA use cases are: Digital Transformation. Data Governance. Big Data Adoption. Think City Planning.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

CIO Business Intelligence

MARCH 23, 2022

This disruption offered organizations the opportunity to leapfrog, transforming from an outdated model to an approach that is more effective. . Therefore, the organization is burdened with ensuring that data collected from such devices is being used, shared and protected properly.

Technology 98

Technology IoT Internet of Things Data-driven 98

Alation

JULY 13, 2021

Yet increasing complexity of data makes the old “lift-and-shift” model not just unrealistic, but risky. Businesses with complex data environments need a migration method that takes that complexity into account. The Data Race to the Cloud. This recent cloud migration applies to all who use data.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

Octopai

APRIL 23, 2022

The planning: a key stage of data migration planning is getting an accurate picture of your current data environment and data flow – and then optimizing it. Mapping a data environment and creating visualizations of data flow is what data lineage tracking does best.

Visualization 89

Visualization Metrics Reporting Software 89

AWS Big Data

MARCH 7, 2023

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

erwin

OCTOBER 29, 2020

Automating data governance is key to addressing the exponentially growing volume and variety of data. Data readiness is everything. In a COVID and post-COVID world, organizations need to radically change as we look to reimagine business models and reform the way we approach almost everything.

Data Governance 105

Data Governance Metadata Digital Transformation ROI 105

Alation

DECEMBER 21, 2022

A data catalog is a metadata repository of information sources across the enterprise, including data sets, business intelligence reports, visualizations, and conversations. Early on, analysts used data catalogs to find and understand data more quickly. MDM Model Objects.

Management 52

Management Data Quality Metadata Testing 52

AWS Big Data

MAY 17, 2023

One group performed extract, transform, and load (ETL) operations to take raw data and make it available for analysis. The other was a group of business users who, each morning, would perform queries to generate local data visualizations, creating a surge of capacity on the Amazon Redshift data warehouse. “So,

Data Warehouse 108

Data Warehouse Cost-Benefit Sales Data-driven 108

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

IBM Big Data Hub

MAY 9, 2022

Others have come into sharper focus relatively recently: a global effort to create new data privacy laws, a post-pandemic expectation by customers to know them individually across all touchpoints, and increased attention on any racial, gender-based, or socioeconomic bias in AI models. Data governance and privacy.

Management 57

Management Data Quality Metadata Data Integration 57