WhereScape is thrilled to invite you to...
Breaking into a Data Vault
The term Data Vault evokes an image of a safe and secure place to store your most important, core data assets. A lot of engineering goes into its design and delivery to ensure it does that job. However, there also is another image—a large, steel door—that comes to mind. Vaults are designed to keep people out. Even the owners of the goods stored there must leap through some hoops to get in. In the case of the Data Vault the intention for access is the exact opposite: business people must certainly be able to get easily to the core data of the enterprise.
Breaking into a Data Vault should therefore be made extremely easy.
Bridging the Gap Between IT and Business
If that odd-sounding statement makes you pause for thought, it’s meant to. (Yes, it’s you I’m talking to: the IT person responsible for the Data Vault project!) Please carefully consider how to make business people feel welcome in the Data Vault—in fact, convince them they own it—before you begin designing, building, operating, and maintaining your Data Vault. The level of comfort of business people with the Data Vault will directly determine your success in this undertaking.
You have probably heard of the “Business-IT Gap.” It’s often more like a rift. And, many times, IT is responsible in large part for it: by being laser-focused on engineering. A Data Vault requires a stronger focus on the underlying structure and tooling than a more traditional data warehouse or data mart. It’s built on a set of design principles that are largely unfamiliar to the rest of the business. In fact, some of them require that business people change some of their thinking about data sourcing and quality.
Data Vaulting
Therefore, IT must make a special effort to bridge the rift before it becomes a chasm into which the Data Vault project could tumble. This requires an intentional focus on bringing business users and IT together from the earliest moments of the design and development process. Collaboration between business and IT begins with the initial analysis of the data sources and stretches all the way through to the data that lands on the user’s desk.
Rapid iteration of the design-to-delivery process in an integrated environment is key. Business users and IT sit together and review the data sources: what they offer and what they can’t, where there are data quality problems that must be addressed up front and where a work-around can be envisaged. It must be able to show what the output data will look like at very short notice. Speed and agility are key to maintaining business interest and (re-)gaining their trust.
WhereScape Data Vault Express
This is where WhereScape® Data Vault Express can help. Business and IT people can work hand-in-hand in very compressed timeframes to analyze sources and define target results, take live data through the process, and discover what works and where it fails—even within a single joint session. Business people can see progress before their very own eyes, rather than having to wait a few weeks for a project update. This is the speed of today’s business. And when business users see that IT is engaged at the same speed, trust grows. The temptation of self-service—to go off and build yet another spreadsheet solution—diminishes when the collaborative process offers early wins.
For your business users and, ultimately, for the success of the business, your goal in IT is to make breaking into a Data Vault a pleasure rather than a chore. Breaking into the Data Vault is part of a new white paper Meeting the Six Data Vault Challenges that I’ve written in collaboration with WhereScape. Download the white paper or watch this recent recorded webcast to learn how your IT team can have greater success in implementing the Data Vault methodology within your organization.
Coming soon, some thoughts on Locking in a Data Vault.
You can find the other blog posts in this series here:
Dr. Barry Devlin is among the foremost authorities on business insight and one of the founders of data warehousing, having published the first architectural paper on the topic in 1988. Barry is founder and principal of 9sight Consulting. A regular blogger, writer and commentator on information and its use, Barry is based in Cape Town, South Africa and operates worldwide.
What Makes A Really Great Data Model: Essential Criteria And Best Practices
By 2025, over 75% of data models will integrate AI—transforming the way businesses operate. But here's the catch: only those with robust, well-designed data models will reap the benefits. Is your data model ready for the AI revolution?Understanding what makes a great...
Guide to Data Quality: Ensuring Accuracy and Consistency in Your Organization
Why Data Quality Matters Data is only as useful as it is accurate and complete. No matter how many analysis models and data review routines you put into place, your organization can’t truly make data-driven decisions without accurate, relevant, complete, and...
Common Data Quality Challenges and How to Overcome Them
The Importance of Maintaining Data Quality Improving data quality is a top priority for many forward-thinking organizations, and for good reason. Any company making decisions based on data should also invest time and resources into ensuring high data quality. Data...
What is a Cloud Data Warehouse?
As organizations increasingly turn to data-driven decision-making, the demand for cloud data warehouses continues to rise. The cloud data warehouse market is projected to grow significantly, reaching $10.42 billion by 2026 with a compound annual growth rate (CAGR) of...
Developers’ Best Friend: WhereScape Saves Countless Hours
Development teams often struggle with an imbalance between building new features and maintaining existing code. According to studies, up to 75% of a developer's time is spent debugging and fixing code, much of it due to manual processes. This results in 620 million...
Mastering Data Vault Modeling: Architecture, Best Practices, and Essential Tools
What is Data Vault Modeling? To effectively manage large-scale and complex data environments, many data teams turn to Data Vault modeling. This technique provides a highly scalable and flexible architecture that can easily adapt to the growing and changing needs of an...
Scaling Data Warehouses in Education: Strategies for Managing Growing Data Demand
Approximately 74% of educational leaders report that data-driven decision-making enhances institutional performance and helps achieve academic goals. [1] Pinpointing effective data management strategies in education can make a profound impact on learning...
Future-Proofing Manufacturing IT with WhereScape: Driving Efficiency and Innovation
Manufacturing IT strives to conserve resources and add efficiency through the strategic use of data and technology solutions. Toward that end, manufacturing IT teams can drive efficiency and innovation by selecting top tools for data-driven manufacturing and...
The Competitive Advantages of WhereScape
After nearly a quarter-century in the data automation field, WhereScape has established itself as a leader by offering unparalleled capabilities that surpass its competitors. Today we’ll dive into the advantages of WhereScape and highlight why it is the premier data...
Data Management In Healthcare: Streamlining Operations for Improved Care
Appropriate and efficient data management in healthcare plays a large role in staff bandwidth, patient experience, and health outcomes. Healthcare teams require access to patient records and treatment history in order to properly perform their jobs. Operationally,...
Related Content
What Makes A Really Great Data Model: Essential Criteria And Best Practices
By 2025, over 75% of data models will integrate AI—transforming the way businesses operate. But here's the catch: only those with robust, well-designed data models will reap the benefits. Is your data model ready for the AI revolution?Understanding what makes a great...
Guide to Data Quality: Ensuring Accuracy and Consistency in Your Organization
Why Data Quality Matters Data is only as useful as it is accurate and complete. No matter how many analysis models and data review routines you put into place, your organization can’t truly make data-driven decisions without accurate, relevant, complete, and...
Common Data Quality Challenges and How to Overcome Them
The Importance of Maintaining Data Quality Improving data quality is a top priority for many forward-thinking organizations, and for good reason. Any company making decisions based on data should also invest time and resources into ensuring high data quality. Data...
What is a Cloud Data Warehouse?
A cloud data warehouse is an advanced database service managed and hosted over the internet.