The biggest obstacle to establishing a Data Governance posture can be scale. Metaphors about boiling saltwater aside, most organizations on a Data Governance journey will find the most success by starting with smaller use cases and scaling out. We call this Agile Data Governance. Can Agile Data Governance work for you? Ask yourself these challenger… Continue reading Agile Data Governance Month – 5 Questions to Find Your First Use Case
When Data Governance initiatives fail or stall out, it is not because they aren’t viewed as important. Even with executive and stakeholder buy-in, Data Governance can be seen as too big a lift and might be deprioritized in favor of initiatives with more immediate ROI. In Part 1 of this four-part series, we learned about… Continue reading Agile Data Governance Month – Can Data Governance be Agile?
It’s Agile Data Governance Month! During the month of September, Passerelle will release a weekly serial discussing Agile Data Governance. By looking at Data Governance as an iterative process, you can work within a common project delivery mindsight, starting small and building Data Governance into the foundation of your data management practices. Can’t wait to read… Continue reading Agile Data Governance Month – A Data Governance Primer
Cloud data management unlocks the power of transformative technologies, including prescriptive AI solutions, advanced analytics and 3rd party data enrichment. But you can’t use new technologies or tools on data you can’t trust. Data Quality Watch™ is an automation solution that used Talend to profile the quality and usability of data within the Snowflake Data… Continue reading Demo: Data Quality Watch
Improving the customer experience has been top of mind for banks and credit unions for years, leading to expansive technology investments. Financial institutions have implemented targeted point solutions or microservices for virtually every aspect of the banking experience, from online application platforms to customer relationship management (CRM) to fraud detection. While each serves a functional… Continue reading Point Systems Might Be Hindering Data Strategy at Banks and Credit Unions – Here’s What to Do About It
Passerelle is partnering with ALTR to deliver the best data access control and security to our Snowflake customers who need to move sensitive data to the cloud securely. Founded in 2014, ALTR initially focused on the complex challenges of data privacy and security in trading technology. Developers quickly discovered their SaaS offering could work in… Continue reading Passerelle Partners with ALTR for Automated Data Access Control and Security in the Cloud
For data to have value, it can’t be static – data must be available to users throughout an organization, for a variety of applications. But as data is used, it presents its own set of challenges. As data moves from a warehouse to other applications and data models, multiple versions of truth can be created.… Continue reading Using Talend and dbt to Build an Enterprise Data Transformation Framework
Passerelle has partnered with dbt Labs to offer data transformation at scale for organizations at any stage of digital transformation. As part of the partnership, Passerelle is building integrations between Talend and dbt Cloud, ensuring data quality from ingestion to analytics. Additionally, dbt Cloud is an integrated component of Data Rocket’s data transformation framework. “Every… Continue reading Passerelle Partners with dbt Labs™ for Leading Edge Data Transformation
At the heart of digital transformation is data quality – the ability to trust an organization’s data. To be able to fully trust data and get reliable analytical insights, organizations need to be able to measure its data quality. For that reason, Data Rocket has launched Data Quality Watch, an automation solution that measures quality… Continue reading Data Rocket Launches Data Quality Watch
The benefits of an infinitely elastic Snowflake Data Cloud are immense – but organizations must be proactive to create a functional data warehouse where data is trusted, visible and usable. Data Governance throughout the Data Life Cycle Data Rocket was created to give organizations at any stage of digital transformation the tools and methodologies to… Continue reading Garbage In, Garbage Out – 3 Tools to Avoid a Data Swamp
Organizations don’t have the time or human capital to waste on technologies that don’t work or are difficult to assemble. Creating a future-proof data stack allows organizations to avoid adoption fatigue, build a data-centric culture and make the most of technology investments. Why Invest in a Modern Data Stack? To define the prerequisites of a… Continue reading How to Build a Future Proof Modern Data Stack
If data is the new gold, technologies that promise to deliver value are like a prospector’s tools. Used correctly, the tools can unlock insights and drive data decision-making. But attempting to undergo data transformation without the right tools or know-how can lead to unusable data – fool’s gold. Most modern data analytics platforms are built with scalable components that comprehensively meet the needs of data management in an organization. Components of a modern data analytics platform include: Data integration –… Continue reading 3 Ways to Avoid “Fool’s Gold” in the Rush to Better Data
