Dataversity

APRIL 30, 2021

The goal of digital transformation remains the same as ever – to become more data-driven. We have learned how to gain a competitive advantage by capturing business events in data. Events are data snap-shots of complex activity sourced from the web, customer systems, ERP transactions, social media, […].

Digital Transformation 246

Digital Transformation Digital Data Warehouse Data Governance 246

Tableau

SEPTEMBER 23, 2021

If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? We’re all trying to use more data to make decisions, but constantly face roadblocks and trust issues related to data governance. . A data governance framework.

Data Governance 97

Data Governance Government Data Quality Change Management 97

Data Pine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Dataversity

AUGUST 16, 2024

Publishing this review is a way to express my gratitude to the fantastic team at DATAVERSITY and Tony Shaw personally for organizing this prestigious live event.

Data Management 130

Data Management Data Governance Government Master Data Management 130

Dataversity

JUNE 7, 2024

I was privileged to deliver a workshop at Enterprise Data World 2024. Publishing this review is a way to express my gratitude to the fantastic team at DATAVERSITY and Tony Shaw personally for organizing this prestigious live event.

Data Management 187

Data Management Data Governance Data Quality Data Architecture 187

Dataversity

NOVEMBER 11, 2024

The recent meltdown of 23andme and what might become of their DNA database got me thinking about this question: What happens to your data when a company goes bankrupt? This latest turn of events, which involves infighting between management and […] The post Ask a Data Ethicist: What Happens to Your Data When a Company Goes Bankrupt?

Data Governance 264

Data Governance Data Quality Government 264

Dataversity

NOVEMBER 13, 2023

In September, I had the privilege of co-hosting a new special interest group (SIG), Women in Data Management and Governance, alongside DATAVERSITY’s Shannon Kempe, at a pre-conference Enterprise Data World (EDW) event.

Government 173

Government Data Management Data Governance Data Quality 173

Dataversity

JULY 29, 2022

Through this experience, I’ve had a few flashback analogies to Y2K: Leading up to the event, it was a period […]. The post The Trend Toward Emphasizing Data Minimization appeared first on DATAVERSITY.

Digital 130

Digital Data Governance Data Quality Data Security 130

Dataversity

SEPTEMBER 9, 2022

In today’s dynamic global marketplace, events outside of our control are constantly making the data we’ve collected erroneous and outdated. In those cases, relying on batch data might be preferable.

Real-time Data 130

Real-time Data Data Governance Data Quality Government 130

Astera

AUGUST 12, 2024

Financial data integration faces many challenges that hinder its effectiveness and efficiency in detecting and preventing fraud. Challenges of Financial Data Integration Data Quality and Availability Data quality and availability are crucial for financial data integration project, especially detecting fraud.

IBM Support 52

IBM Support Data Quality IBM Maintenance IBM cost 52

Astera

FEBRUARY 9, 2024

Financial data integration faces many challenges that hinder its effectiveness and efficiency in detecting and preventing fraud. Challenges of Financial Data Integration Data Quality and Availability Data quality and availability are crucial for any data integration project, especially for fraud detection.

IBM Support 52

IBM Support Data Quality IBM Maintenance IBM cost 52

Domo

JULY 8, 2021

A third thing you should consider is how providers align with your data governance models. Cloud-based integration platforms can compress development cycles by incorporating new data sources and users quickly, and by adding governance and certification processes.

Data Governance 52

Data Governance Government Embedded Analytics Business Intelligence 52

Astera

FEBRUARY 28, 2024

They’re the interactive elements, letting users not just see the data but also analyze and visualize it in their own unique way. Best Practices for Data Warehouses Adopting data warehousing best practices tailored to your specific business requirements should be a key component of your overall data warehouse strategy.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

JUNE 13, 2023

Acting as a conduit for data, it enables efficient processing, transformation, and delivery to the desired location. By orchestrating these processes, data pipelines streamline data operations and enhance data quality. Techniques like data profiling, data validation, and metadata management are utilized.

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 52

Astera

JUNE 6, 2023

The best data pipeline tools offer the necessary infrastructure to automate data workflows, ensuring impeccable data quality, reliability, and timely availability. Empowering data engineers and analysts, these tools streamline data processing, integrate diverse sources, and establish robust data governance practices.

Data Warehouse 52

Data Warehouse Monitoring Real-time Data Documentation 52

Astera

OCTOBER 12, 2023

The platform also allows you to implement rigorous data validation checks and customize rules based on your specific requirements. Furthermore, by providing real-time data health checks, the platform provides instant feedback on the data quality, enabling you to keep track of changes.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52

Domo

JULY 1, 2021

In addition to transparency, control of your data is key. Any provider you use should be able to align to your existing data governance models. Look for metadata management capabilities and ways to ensure data quality. Also look for data certification capabilities so you can establish trusted datasets.

Embedded Analytics 64

Embedded Analytics Data Warehouse Digital Transformation Innovation 64

Astera

FEBRUARY 27, 2024

It also supports predictive and prescriptive analytics, forecasting future outcomes and recommending optimal actions based on data insights. Enhancing Data Quality A data warehouse ensures high data quality by employing techniques such as data cleansing, validation, integration, and standardization during the ETL process.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

It also supports predictive and prescriptive analytics, forecasting future outcomes and recommending optimal actions based on data insights. Enhancing Data Quality A data warehouse ensures high data quality by employing techniques such as data cleansing, validation, integration, and standardization during the ETL process.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

JUNE 6, 2023

The data is transformed and loaded in real-time to target systems or analytics platforms. This architecture enables immediate decision-making and event response. It can handle both batch data and streaming data, providing flexibility. They are continuously ingested from sources like IoT devices or social media feeds.

Data Quality 52

Data Quality Monitoring Data Warehouse Data Security 52

Astera

AUGUST 15, 2024

It’s also more contextual than general data orchestration since it’s tied to the operational logic at the core of a specific pipeline. Since data pipeline orchestration executes an interconnected chain of events in a specific sequence, it caters to the unique data requirements a pipeline is designed to fulfill.

Data Quality 52

Data Quality Monitoring Artificial Intelligence Government 52

Astera

JANUARY 18, 2024

As far as the destinations are concerned, Fivetran supports data warehouses and databases, but it doesn’t support most data lakes. It also offers limited data transformation capabilities and that too through dbt core, which is an open source tool. Change data capture (CDC) for all relational databases in one platform.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

Astera

NOVEMBER 28, 2023

The primary goal is to maintain the integrity and reliability of data as it moves across the pipeline. Importance of Data Pipeline Monitoring Data pipeline monitoring is crucial for several reasons: Data Quality: Data pipeline monitoring is crucial in maintaining data quality.

Monitoring 40

Monitoring Data Quality Government Healthcare 40

Astera

JANUARY 18, 2024

Mergers and acquisitions don’t only involve the shareholders—in fact, all stakeholders, including the customers, are affected by these transformative events. Get data extraction, transformation, integration, warehousing, and API and EDI management with a single platform. Pros: Support for multiple data sources and destinations.

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Warehouse 52

Astera

APRIL 24, 2024

Data ingestion solutions simplify and accelerate this process. They automatically capture incoming data, allowing businesses to quickly analyze their data and make timely decisions based on current events rather than outdated information. Users must manually set up the webhooks or API triggers to import event data.

Data Warehouse 52

Data Warehouse Real-time Data Documentation Data Quality 52

Astera

NOVEMBER 13, 2023

For instance, marketing teams can use data from EDWs to analyze customer behavior and optimize campaigns, while finance can monitor financial performance and HR can track workforce metrics, all contributing to informed, cross-functional decision-making. This schema is particularly useful for data warehouses with substantial data volumes.

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52

Astera

AUGUST 5, 2024

The aim is to provide a clear understanding of what has happened in the past by transforming raw data into meaningful summaries and visualizations. Predictive Analysis : Predictive analysis goes further by using historical data to forecast future events. Below are a few common challenges and strategies for overcoming them.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

The BAWorld

NOVEMBER 22, 2021

Completeness is a data quality dimension and measures the existence of required data attributes in the source in data analytics terms, checks that the data includes what is expected and nothing is missing. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Astera

APRIL 24, 2024

Interactive, Automated Data Preparation : Ensures data quality using data health monitors, interactive grids, and robust quality checks. Advanced Data Transformation : Offers a vast library of transformations for preparing analysis-ready data. Assess the tool’s data quality management features.

IBM Support 52

IBM Support IBM cost IBM Maintenance Visualization 52

Insight Software

DECEMBER 23, 2021

Data quality has always been at the heart of financial reporting , but with rampant growth in data volumes, more complex reporting requirements and increasingly diverse data sources, there is a palpable sense that some data, may be eluding everyday data governance and control. Data Quality Audit.

Data Quality 98

Data Quality IBM Maintenance IBM Support Finance 98

Insight Software

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

IBM Support 52

IBM Support IBM Maintenance Data Warehouse IBM cost 52

Insight Software

MARCH 4, 2024

Data inconsistencies become commonplace, hindering visibility and inhibiting a holistic understanding of business operations. Data governance and compliance become a constant juggling act. Here’s how it empowers you: Clean and Validated Data : Easy Workflow enforces data quality through automated validation rules.

Data Management 52

Data Management IBM Maintenance IBM Support Data Governance 52

Insight Software

OCTOBER 26, 2023

If your finance team is using JD Edwards (JDE) and Oracle E-Business Suite (EBS), it’s like they rely on well-maintained and accurate master data to drive meaningful insights through reporting. For these teams, data quality is critical. Ensuring that data is integrated seamlessly for reporting purposes can be a daunting task.

IBM Maintenance 52

IBM Maintenance Data Quality IBM cost IBM Support 52

Insight Software

MARCH 14, 2024

Jet’s interface lets you handle data administration easily, without advanced coding skills. You don’t need technical skills to manage complex data workflows in the Fabric environment. I understand that I can withdraw my consent at any time. Privacy Policy.

IBM Maintenance 52

IBM Maintenance IBM Support Data Discovery Supply Chain 52

Insight Software

MARCH 13, 2024

Free your team to explore data and create or modify reports on their own with no hard coding or programming skills required. Data Quality and Consistency Maintaining data quality and consistency across diverse sources is a challenge, even when integrating legacy data from within the Microsoft ecosystem.

IBM Maintenance 52

IBM Maintenance IBM Support Supply Chain IBM Expert 52

Insight Software

OCTOBER 11, 2023

Maintaining robust data governance and security standards within the embedded analytics solution is vital, particularly in organizations with varying data governance policies across varied applications. Logi Symphony brings an overall level of mastery to data connectivity that is not typically found in other offerings.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance User Experience 52

Insight Software

NOVEMBER 7, 2023

Security and compliance demands: Maintaining robust data security, encryption, and adherence to complex regulations like GDPR poses challenges in hybrid ERP environments, necessitating meticulous compliance practices. Streamlines data governance, enhancing data accuracy and allowing efficient management of data lifecycle tasks.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Finance 52