5 Frequent Analytics Challenges for Snowflake Customers

There are a plethora of instruments and platforms to select from in terms of constructing  dashboards with Snowflake information. For constructing interactive analytics apps with Snowflake, there’s GoodData.

GoodData and Snowflake make a superb mixture for working your analytics app. Your subsequent query is why, proper? The reply is a bit long-winded however learn on to study concerning the 5 distinctive use circumstances 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 distinct view of the info). This results in your group will rapidly grow to be inundated with customization requests.

GoodData Resolution

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 consider their dashboards — for every consumer firm or person group, you’ll be able to simply allow end-user customizations of dashboards and stories whereas guaranteeing that every group’s information is separate and safe. On prime of this, with plans priced per workspace quite than per person and the flexibleness 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 Knowledge Storage With out Sacrificing Efficiency

The State of affairs

Whether or not you intend to roll out analytics internally to staff or externally to clients, one of many primary objectives in your analytics resolution will seemingly be to supply analytics to as a lot 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 functions are fairly taxing from an operational perspective. As your utility beneficial properties traction, you’ll quickly see information volumes and concurrent person numbers develop, together with the prevalence of peak utilization instances.

GoodData Resolution

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 major requirement for offering self-service analytics, one other problem is knowing who your finish customers will likely be. They seemingly received’t all be analysts by career, which is why each step in direction of ease of customization is effective. It additional helps to forestall customization requests that may in any other case go to your product, help, or skilled providers groups.

GoodData Resolution

GoodData’s resolution is to implement reusable metrics. Reusable metrics is the simplest approach 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.

Data model example
Outline base metrics your finish customers can reuse.
Logical data model with stacks of technical and business metrics
Obtain ease of customization with reusable metrics.

4. Get rid of Knowledge Silos and the Must Transfer Knowledge

The State of affairs

With information being collected from a number of sources and moved between departments and functions, the prevalence of information silos and off information is a typical downside for corporations rolling out analytics.

GoodData Resolution

Your Snowflake information warehouse solves a part of the equation by offering one location for storing your whole 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 resolution 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 utility will seemingly contain a range of customers, analysts, builders, and information scientists who received’t be happy with simply interactive information visualizations and dashboards.

They’ll need to use the analytics ends in a number of different functions (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 a substitute of counting on outdated information exports, they’ll need to hook up with the semantic layer and get real-time metrics, akin to utilizing their Python code with GoodData Python SDK.

Many corporations method this want by utilizing a number of instruments and platforms that sit on prime of a shared database. Nonetheless, guaranteeing analytics consistency throughout these varied instruments is tough as a result of every device can use a distinct information mannequin and question language in addition to snapshots of information from totally different instances. All of those variations could 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 Resolution

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 functions by way of customary APIs and protocols (e.g., JDBC or ODBC) to supply up-to-date, clearly outlined information.

Headless BI schema
Guarantee constant analytics outcomes with headless BI.

Attempt GoodData + Snowflake

Need to study extra about the best way to get essentially 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 provide you with an in-depth guided tour.

Latest articles

Related articles

Leave a reply

Please enter your comment!
Please enter your name here