There are a plethora of instruments and platforms to select from on the subject of constructing dashboards with Snowflake information. For constructing interactive analytics apps with Snowflake, there may be GoodData.
GoodData and Snowflake make a wonderful mixture for operating your analytics app. Your subsequent query is why, proper? The reply is a bit long-winded however learn on to study in regards to the 5 distinctive use instances GoodData gives to help Snowflake information customers.
1. Eradicate Change-request Overload
The State of affairs
In analytics, one dimension doesn’t match all. Finish customers will all the time be in search of one thing immediately suited to their wants (i.e., a special view of the info). This results in your crew will rapidly grow to be inundated with customization requests.
GoodData Answer
That is the place multi-tenant structure, a well known GoodData staple, turns into a necessity. By offering separate workspaces — devoted areas the place customers can analyze their information and look at their dashboards — for every shopper firm or person group, you’ll be able to simply allow end-user customizations of dashboards and stories whereas making certain that every group’s information is separate and safe. On high of this, with plans priced per workspace reasonably than per person and the pliability so as to add limitless customers per workspace, you’ll be able to rapidly and simply scale your product alongside together with your Snowflake information warehouse.
2. Scale Analytics Alongside Snowflake Information Storage With out Sacrificing Efficiency
The State of affairs
Whether or not you propose to roll out analytics internally to staff or externally to prospects, one of many predominant targets on your analytics answer will seemingly be to supply analytics to as lots of your finish customers as potential. Nonetheless, the flipside to that is that as your end-user uptake will increase, so do the efficiency necessities of your information storage and your analytics. As well as, profitable analytics purposes are fairly taxing from an operational perspective. As your software good points traction, you’ll quickly see information volumes and concurrent person numbers develop, together with the prevalence of peak utilization instances.
GoodData Answer
On this occasion, elastically scalable analytics is required to enrich your Snowflake information warehouse. GoodData’s elastic scalability effectively scales by information quantity, person quantity, and price; in order your Snowflake information storage grows, your analytics and person numbers can scale together with it — with out sacrificing efficiency.
3. Leverage Reusable Metrics to Empower Finish Customers
The State of affairs
Whereas multi-tenant structure is one main requirement for offering self-service analytics, one other problem is knowing who your finish customers will likely be. They seemingly gained’t all be analysts by career, which is why each step in the direction of ease of customization is effective. It additional helps to stop customization requests that might in any other case go to your product, help, or skilled companies groups.
GoodData Answer
GoodData’s answer is to implement reusable metrics. Reusable metrics is the simplest option to obtain ease of customization. By making a semantic mannequin and defining base metrics that your finish customers can later use when creating their particular metrics as easy arithmetic expressions, your finish customers can handle their analytics effectively and confidently.
4. Eradicate Information Silos and the Have to Transfer Information
The State of affairs
With information being collected from a number of sources and moved between departments and purposes, the prevalence of knowledge silos and rancid information is a typical downside for firms rolling out analytics.
GoodData Answer
Your Snowflake information warehouse solves a part of the equation by offering one location for storing your entire information from scattered information sources. The opposite half of the equation? GoodData Cloud to immediately question your Snowflake information in actual time for all the time up-to-date information analytics — with out the necessity to transfer information whereas additionally eliminating information silos.
5. Keep away from Metrics Inconsistencies
The State of affairs
As described above, with an analytics answer immediately querying your Snowflake information in actual time, finish customers all the time have entry to the freshest information. On the identical time, you keep away from the necessity to transfer information. Nonetheless, a profitable analytics software will seemingly contain a range of customers, analysts, builders, and information scientists who gained’t be happy with simply interactive information visualizations and dashboards.
They’ll wish to use the analytics ends in a number of different purposes (e.g., BI instruments, ML/AI notebooks, and so on.) that kind a part of their workflow and mix these leveraged metrics with their queries. As an alternative of counting on outdated information exports, they’ll wish to hook up with the semantic layer and get real-time metrics, akin to utilizing their Python code with GoodData Python SDK.
Many firms method this want through the use of a number of instruments and platforms that sit on high of a shared database. Nonetheless, making certain analytics consistency throughout these varied instruments is tough as a result of every device can use a special information mannequin and question language in addition to snapshots of knowledge from totally different instances. All of those variations may cause customers to make use of ungoverned calculations of their instruments. Unsurprisingly, this results in information inconsistencies when 4 customers report 4 totally different values of the identical KPI.
GoodData Answer
Right here is the place headless BI is the answer. Headless BI permits finish customers to attach on to the analytics engine embedded in your purposes by way of customary APIs and protocols (e.g., JDBC or ODBC) to supply up-to-date, clearly outlined information.
Strive GoodData + Snowflake
Need to study extra about the way to get probably the most out of your Snowflake information with GoodData? Learn extra about the advantages of our technical partnership or request a demo right now and we’ll offer you an in-depth guided tour.
