Data Quality Should be Part of the Data Catalog - Introducing Acryl Observe

“Why is the revenue dashboard missing last week's data?”

“Did something change about how we calculate sign ups?”

“Are our numbers are going to be incorrect again this week?”

Questions like these are how data teams find out about data quality fires.

Instead of being first to know about data issues—data teams are last, often finding out via harshly-worded Slack DMs or urgent Jira tickets. By this point, the damage has already been done. Important tables, dashboards, reports, and product experiences may already be broken, leaving your decision makers and users scratching their heads; or worse, causing lasting damage to the business.

What if your data team could catch these issues before they snowball into major incidents?

Restoring Trust in Data—Our Path to Observability

At Acryl, we didn’t go looking for an excuse to develop a data observability solution. There’s more than enough to keep us occupied in relentlessly improving the best data catalog on the planet! But the more experience we gained in working closely with Acryl customers, the clearer it became that data quality, data discovery, and data governance aren’t just complementary, but mutually reinforce one another.

Our goal at Acryl is simple: to help organizations find, organize, and govern their mission-critical data. Over the years, our customers have taught us that surfacing the most relevant data within an organization is only possible if the data is well-described, compliant, and of good quality. Acryl can’t recommend the best datasets without deeply understanding their quality; and organizations can’t sustainability maintain data quality without having a clear view into the bigger picture—how the data is used, why it exists, and who is responsible for it.

We’ve found that bringing these capabilities together under one roof makes it much easier for data teams to scale by enabling their data consumers to proactively find trustworthy, compliant data on their own. In addition, it saves costs, reduces operational overhead, and increases data adoption by making traditionally siloed concerns accessible to everyone in the organization; from Data Analysts to Marketing Associates to the executive team. By bundling these concerns, companies can drive more successful, sustainable outcomes across data quality, governance, and discovery over the long term.

Introducing Acryl Observe

Acryl Observe provides data teams with everything they need to detect data breakages immediately, limit their downstream impact, keep stakeholders in the loop, and resolve issues fast—so that data teams can spend less time reacting and more time preventing.

With Acryl Observe, your team can:

Detect data quality issues as soon as they occur.

• Use the UI or rich APIs to configure checks for freshness, volume, and column values; or, write custom SQL queries to define your own checks.
• Be the first to know when a data quality check fails or an outage occurs, with alerts that reach you where you work—in Slack, Teams, email, etc.
• Eliminate blind spots in your data quality coverage with “Smart” Assertions—AI-based anomaly checks that Observe generates by learning the historical patterns of your data.

Resolve issues quickly, while keeping all stakeholders in the loop.

• Assess the impact of and triage data quality problems quickly, with access to data ownership and rich lineage context.
• Keep stakeholders up to date on new and ongoing incidents, updating them where they work: in Slack, Teams, email, and beyond.
• Centralize problem resolution, with seamless access to relevant context like documentation, compliance information, and historical statistics.

Visualize the state of data quality across your entire data ecosystem.

• Quickly assess the state of your data ecosystem with bird’s eye overview of data quality problems across teams and domains
• Prioritize and tackle the highest priority data quality issues in real time

Unify data quality, data discovery, and data governance in a single world-class tool

• Access documentation, compliance and real-time health for each and every asset—with a single, shareable link.
• Increase adoption of your data catalog by democratizing data quality and empowering your teams to find and use trustworthy, compliant data on their own.
• Reduce the complexity and costs of managing siloed tools for data quality, data discovery, and data governance.

Start Building Trust in Your Data

Your data warehouse or lake should be the trusted source of data within the organization, enabling everything from day-to-day strategic decision making to ML and AI-powered product experiences and more.

Acryl Observe equips you with the tools you need to build and maintain trust in this data as it grows and changes. It enables you to detect data quality issues as soon as they occur—before they snowball into expensive incidents that break reports, dashboards, and end-user experiences—and then rapidly triage, debug, and resolve them. It does so while keeping all impacted stakeholders within the organization—data analysts, data scientists, and decision makers—informed.

It’s all built on Acryl Cloud, the first unified platform for Data Discovery, Governance, and Observability, to consolidate traditionally separate capabilities under a single roof accessible to your entire team.

Want to learn more? 👉 Click here to learn more about Acryl Observe and book a demo.