When a Snowflake Turns into a Blizzard
12 Reasons Snowflake Costs Get Out Of Control
For many teams, Snowflake's data warehousing capabilities seem limitless at first. But as usage grows more sophisticated, costs can balloon if not kept carefully in check. When Snowflake bills start arriving much larger than expected, it's time to tame the proverbial blizzard before it buries the budget.
This ebook focuses on twelve common culprits that can cause Snowflake costs to rise unexpectedly and a practical solution specific to analytics. From inefficient queries to oversized warehouses to unexpected data growth, these cost creep issues often happen gradually beneath the surface. But their collective impact can add up to a budget-busting blizzard if not addressed.
Top 5 Challenges in Designing a Data Warehouse for Multi-Tenant Analytics
If you don’t properly design your data warehouse for multi-tenant analytics, you’re gonna have a bad time. Most data warehouses are built to efficiently store large volumes of data from numerous sources, not for end-users of SaaS platforms working with multi-tenant analytics. This architecture mismatch causes a variety of headaches. We’ll outline the top 5 challenges and explain how to have a good time instead.
The HIDDEN ROI of Embedded Analytics for SaaS Companies
As a SaaS leader, you know that end-user expectations encompass a seamless user experience, easy to use self-service analytics, and immediate data response times.
Delivering these features requires an embedded analytics solution with a different approach. One that includes both the user facing components and the data management layer to ensure the solution can scale and meet the custom needs of SaaS end customers.
Read this brief to learn FOUR areas for cost savings and FOUR monetization opportunities with embedded analytics that SaaS leaders need to know about.
How Embedded Analytics Helps Product Managers Exceed Their KPIs
PMs are the CEOs of their product. This challenging role requires people management, expectation management, and delivering business results. In a SaaS environment, the challenge is compounded as results are measured daily, monthly and quarterly.
However, new vendors have emerged to assist Product Managers in delivering cutting edge experiences to their end-users which align to important KPIs. Below are five ways embedded analytics help PMs exceed their key performance indicators.
A Product Manager’s Guide to Embedded Analytics
Our Embedded Analytics Product Fit Guide will walk you through the process of choosing an analytics provider and outline all of the steps involved. It was designed as a conversation starter to get you thinking about your specific needs, so you can align your requirements and priorities and ensure your analytics solution is a perfect match for your needs.
There are many considerations you should be thinking about as you evaluate different analytics vendors and solutions. It is important to both understand your needs and specific requirements as well as know which of them are the most important priorities for your project.
Build vs. Buy: Embedded Analytics for SaaS Providers
As a SaaS leader, you know that the more metrics, insights, and analytics you add to your products, the more engagement you’ll have and the stickier your product will become with customers.
At what point do you decide to keep building your own in-house analytics or invest in an analytics platform that can be easily embedded into your software?
Read our Build vs. Buy Analytics eBook to learn:
- Top 4 benefits of embedded analytics.
- A quick cost comparison of in-house vs embedded analytics.
- 10 considerations to help your company deliver the RIGHT analytics solution for your CUSTOMER needs.
19 Embedded Analytics Providers Ranked by Leading Analyst Firm
Read this newly release report by Dresner Advisory Services and glean key insights into software supplier performance and see comparisons of current vendor performance. The Embedded Business Intelligence Market Study provides a wealth of information and analysis, offering value to consumers of business intelligence technology and services. Key metrics include interface integration, extensibility, and user features among many others.
19 Embedded Analytics Providers Ranked by Leading Analyst Firm
Read this newly release report by Dresner Advisory Services and glean key insights into software supplier performance and see comparisons of current vendor performance. The Embedded Business Intelligence Market Study provides a wealth of information and analysis, offering value to consumers of business intelligence technology and services. Key metrics include interface integration, extensibility, and user features among many others.
How Infused Analytics Helps Product Managers Exceed Their KPIs
PMs are the CEOs of their product. This challenging role requires people management, expectation management, and delivering business results. In a SaaS environment, the challenge is compounded as results are measured daily, monthly and quarterly.
However, new vendors have emerged to assist Product Managers in delivering cutting edge experiences to their end-users which align to important KPIs. Learn the five ways infused analytics can help PMs exceed their key performance indicators.
The Future is Self Service
This is a book about a very important, yet often misunderstood topic in the OEM software world, the topic of self-service data, analytics and automation.
Self service is no longer something software providers can ignore or approach in a haphazard fashion. Empowering users with the ability to collect, analyze and automate their data, and yours, can fundamentally change how a software product functions. Ensuring the right people always have access to the right information at the right times can be game-changing. Frankly, if your product doesn’t have self-service capabilities, you risk losing your users to platforms and products that do.
Embedding Business Analytics
Choosing the right tools and services to embed into your product is always challenging. There are always many factors to consider, and the decisions you make today can affect the direction your product takes for years to come. That challenge has always been especially hard when adding analytics to your product. Many traditional analytic solutions simply weren’t designed for embedding while many others didn’t offer a business model to support them. And if your software is on or migrating to the cloud, as most companies are, finding cloud services that integrate with Amazon Web Services (AWS) also adds to the complexity.
In this book, we’ll outline both the promise and problems with today’s analytic tools and introduce you to a new, modern approach to business analytics in the cloud that can deliver the solutions your product needs and a business model specifically tailored for OEM software vendors.
Embedded Analytics Built for Developers
Developers love Qrvey because Qrvey is built for the way you build software. Qrvey boosts developer productivity with low-code javascript widgets combined with a powerful suite of APIs that let you build custom analytics features directly into your SaaS application with full customization and white-labeling. You can easily integrate and embed data collection, transformation, analysis, visualizations, automation and AI/ML functionality. Best of all, Qrvey is the only cloud-native embedded platform that is 100% SDLC compliant.
How Infused Analytics Helps Product Managers Exceed Their KPIs
PMs are the CEOs of their product. This challenging role requires people management, expectation management, and delivering business results. In a SaaS environment, the challenge is compounded as results are measured daily, monthly and quarterly.
However, new vendors have emerged to assist Product Managers in delivering cutting edge experiences to their end-users which align to important KPIs. Learn the five ways infused analytics can help PMs exceed their key performance indicators.
The Future is Self Service
This is a book about a very important, yet often misunderstood topic in the OEM software world, the topic of self-service data, analytics and automation.
Self service is no longer something software providers can ignore or approach in a haphazard fashion. Empowering users with the ability to collect, analyze and automate their data, and yours, can fundamentally change how a software product functions. Ensuring the right people always have access to the right information at the right times can be game-changing. Frankly, if your product doesn’t have self-service capabilities, you risk losing your users to platforms and products that do.
Embedding Business Analytics
Choosing the right tools and services to embed into your product is always challenging. There are always many factors to consider, and the decisions you make today can affect the direction your product takes for years to come. That challenge has always been especially hard when adding analytics to your product. Many traditional analytic solutions simply weren’t designed for embedding while many others didn’t offer a business model to support them. And if your software is on or migrating to the cloud, as most companies are, finding cloud services that integrate with Amazon Web Services (AWS) also adds to the complexity.
In this book, we’ll outline both the promise and problems with today’s analytic tools and introduce you to a new, modern approach to business analytics in the cloud that can deliver the solutions your product needs and a business model specifically tailored for OEM software vendors.