Advancing Data Governance: Escape Excel Spreadsheets & Manage Your Reference Data Centrally
Many organizations rely on manual data processing and thus, are left with reference data scattered across multiple source systems.
If your business and IT users are frustrated by lengthy processes, a lack of accountability, and low reference data quality, watch this webinar to learn how to improve data governance and find out why excel is not the right tool for this.
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Embracing the Future of Data Governance with our Clients, Part 2
We asked our clients in the Asia Pacific region about their challenges to becoming data-driven and what they’re working on and excited about for the future.
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Embracing the Future of Data Governance with our Clients, Part 1
Learn how our customers manage data in the cloud, use AI, and make data accessible to more people in the enterprise.
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What Is Data Quality and Why Is It Important?
Learn what data quality is, why it is important, what costs and risks bad data carries, and how you can get started with data quality today for free.
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5 Proven Techniques For Successful Data Governance
Learn 5 useful techniques from our experts in Data Governance.
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Reference Data Management Fundamentals: What It Is and Why It Matters
Reference data is data that defines the values that are used to classify and characterize other data. It is, in essence, the “What, Where, When, Who, and How” of data.
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Essential Features of Data Catalogs
Modern enterprises are data-driven, making effective data management one of the top priorities for companies. A data catalog is an essential part of a data management strategy, and enables users to easily find, understand, and trust their organization’s data.
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Data Catalog Fundamentals: Main Principles, Benefits, and Key Features
A data catalog is a centralized solution providing authorized users quick access to your company's most current and reliable business information.
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Master Data Management Fundamentals: Importance, Principles, and Benefits
Understand what Master Data Management is, why it is important, how it works, and what happens when you don't take care of master data.
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Insurance provider standardizes global underwriting, saving 100s of work hours monthly
To underwrite client insurance requirements quickly, the organization needed to standardize the quality of their worldwide brokerage data.
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Faster calculation enables royalties to be paid within days of play, not in monthly or quarterly batches.
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Our answers to the most frequent questions about Ataccama ONE Gen2.
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We have launched Ataccama ONE Gen2!
On Nov 16, we unveiled our new platform for data management & governance—Ataccama ONE Gen2. Learn about everything that's new.
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Data Management is Key to Containing Covid-19 and Future Pandemics
Robust data management principles and processes are necessary for smart quarantine, more accurate analyses of the Coronavirus, and more informed decisions about reopening economies around the world.
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Data Catalogs: Accelerating Analytics and Data Quality Operationalization
Read this blog post to see how a data catalog can accelerate data discovery, data preparation, and operationalization of data quality solutions.
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Augmented Data Lineage: What It Is, and Why It Matters
Read this blog post to learn what augmented data lineage is and how business and analytical roles within enterprises can use it to find data and perform root cause analyses faster while avoiding corporate red tape.
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RSA
RSA implemented Ataccama’s Reference Data Management solution on AWS to centralize data management, avoid data duplication, and propagate a single version of reference data to consuming systems.
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X5
The retailer leveraged Ataccama for in-place data lake processing with Spark to ensure efficient logistics, optimize merchandising, and produce reliable reports for business development based on high-quality data.
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Raiffeisenbank a.s.
The European bank successfully consolidated customer portfolios for multiple acquisitions and built an MDM hub to power its operations, prevent fraud, and facilitate regulatory compliance.
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