The Challenge: Before Metabase, Synctera used a slow BI solution that lacked customer self-service capabilities and had poor technical support.
The Solution: Metabase allowed both Synctera and their customers to ask their own questions and improved their self-service data culture.
The Results: Metabase improved customer satisfaction, increased self-service analytics capabilities, and saved a lot of time for their analysts.
"Metabase is the first self-service dashboard platform I’ve been able to deploy after more than a decade of trying. It’s truly customer-facing and end-user-focused. "Dave Holmes-Kinsella
Head of Data Science at Synctera.
Before Metabase, Synctera’s team used another BI solution that wasn’t performant enough for them, and it didn’t make it easy for people to self-serve their data questions.
The turning point came when the CEO of Synctera attempted to use one of their customer-facing dashboards and expressed strong dissatisfaction with a cross-tab (pivot table) taking 14 seconds to render. Synctera’s CTO was familiar with Metabase from previous experiences, and they decided to evaluate it. They ended up choosing Metabase because it was:
Synctera’s team had a base set of dashboards they needed to migrate from the previous solution to serve both operations and regulatory reporting. They also wanted to provide their customers with the ability to answer their own questions.
Synctera works with banking data, supported by a cloud-native Ledger. This data includes transactions, accounts, and end-user information, together with information relating to disputes, fraud, and compliance activities. The data are sourced from their operational systems, all running on PostgreSQL, and periodically ETL-ed into BigQuery. A subset of the data is real-time, reported directly out of PostgreSQL.
They maintain a series of intermediate tables that perform three tasks:
By maintaining full visibility into the data, the Synctera team ensures they can accommodate the summary-to-drilldown journey in any dashboard. This approach helps them avoid “dueling spreadsheets,” where metrics are calculated differently by people using different tools.
Synctera’s team uses Metabase in three main ways:
Synctera’s data team built the initial dashboards, which are used by most of the employees. For product health metrics, the product managers built the dashboards for their respective products.
Synctera’s team operates multiple Metabase - one principal internal Metabase and one external. The external-facing Metabase is almost exclusively graphically based to support multi-tenancy. Internally, they typically start by asking questions in SQL. Once they’ve achieved reasonable alignment with their intended audience, they build the data into tables for performance.
Synctera operates a multi-layered security approach to ensure that the right data – and only the right data – is available to those who need the information to do their jobs.
Synctera manages dashboard access in a number of ways, using Metabase’s security models:
Synctera manages data access on a shared-view basis:
Information is additionally restricted based on sensitivity:
Underpinning all these permissions is the sandboxing model of Metabase, which supports multi-tenancy “out of the box”. In this way, people from different organizations–Synctera, bank partners, and customers–can use the same dashboards but with the information automatically scoped as appropriate to each organization
Synctera also uses official collections and questions to help people find content that is most relevant to their sphere of activity.
The initial goal of Synctera’s team was to replace the previous solution with something that was performant, appealing, feature-complete, cost-effective, and supportive of our company’s brand.
Metabase improved Synctera’s data culture in the following ways:
Synctera’s team specifically values Metabase’s technical support.
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