What this blog covers:
- With growing data volumes and increasing compute costs, data leaders and BI experts are struggling to strike a balance.
- It’s not impossible. With Kyvos, you can optimize your current BI stack and perform multidimensional analytics on live cloud data while reducing your compute and processing costs.
- Kyvos cloud BI acceleration platform comes with an automated smart aggregation strategy and auto-scaling features, allowing faster BI performance at the lowest cost possible.
Increasing data volumes, growing cloud consumption, and exploding costs are the biggest concerns for data-driven organizations that have moved to the cloud. Answering questions like “How much data can I analyze without shooting cloud costs out of the roof” is more critical than ever before.
There is a need for a strategic approach to tie business intelligence with cloud cost optimization. The goal is to use the right mix of your tech stack to get the best analytical performance at the lowest cost.
Kyvos BI acceleration platform improves query performance and enables organizations to reduce their cloud costs with its smart aggregation strategy and elastic architecture.
Our platform helps optimize cloud costs by reducing your monthly cloud bill by pre-aggregating all your data, or all the data you need to aggregate (without any limits). Kyvos also lets you schedule the commissioning and decommissioning of cloud resources per your organization’s usage.
Enterprise-Wide Cloud BI Is Expensive
In modern data-driven organizations, providing self-service data access to all users is essential for efficient operations. However, more users lead to increased spending when running individual queries. Data silos add to the cost of analytics even further as more queries and reports are run separately on similar datasets by different departments within the organization.
When it comes to analyzing cloud-scale data over and over again for critical business decisions, higher cloud consumption and cost explosion are inevitable.
No wonder 82% of organizations consider cloud cost management the biggest challenge in their digital transformation.
As such, balancing the growing cloud costs with its strategic advantages can be challenging. The solution is to invest in an advanced BI ecosystem that allows optimum resource utilization, even when running complex and multidimensional queries on massive data sets.
Instead of being reactive and responding to sudden changes, build a cost-effective BI architecture that lets you deliver self-service and interactive analysis at scale without getting bogged down by cloud costs.
Best Cloud Cost Optimization Strategies to Improve BI Functions
With most of your enterprise workloads moving to the cloud, the cost of analytics will also rise. Not only do you have to take charge of your cloud costs, but you also need to optimize the existing resources to reach pre-set business goals.
Even if your current BI stack has all the tools you need, they aren’t necessarily geared for exploding data volumes and more users. Here are some proactive strategies to bring better and faster results despite such challenges.
Control Compute Costs
When working on the cloud, you may spend much more on runtime processing than anticipated. You need to control overall usage costs, and Kyvos can come in handy for this purpose.
Our smart aggregation technology helps you reduce compute costs. Since all the queries are pre-aggregated and fed into data models, you don’t need to worry about runtime costs for each question you ask from your BI and data engineering teams.
We call it the “Build-Once-Query-Multiple-Times Approach,” as you can scale without constraints and add any number of users to fire as many queries as they need without budget overloads or performance delays.
Manage Your Cloud Resources without Extra Costs
Let’s agree that the cloud environment offers scalability by default. You can stretch your resources or shrink them with your changing business needs. When running ad hoc queries especially, your processing costs explode as every query runs through your data to bring back the results.
If tens or hundreds of users from different departments run these queries simultaneously, each query will add to your monthly cloud bills. But with Kyvos, you can take a sigh of relief.
Our auto-scaling feature allows you to scale up or down your analytics to optimize resource consumption. It lets you predict load changes and pre-schedule your querying activities accordingly. This way, you wouldn’t have to invest in multiple data warehouses to accommodate more users. We pre-aggregate data so your query performance remains high, and the cost per user falls when concurrency increases.
Create a Single Source of Truth
Multiple dashboards, thousands of users, and hundreds of measures make data analytics more challenging. Save yourself the stress and budgetary crushes with a unified data view across the enterprise without compromising BI speed or performance.
Kyvos builds a Smart Semantic Layer™ between your data warehouse and BI tool to ensure end-to-end visibility into any details. With an unobstructed view, your teams can slice and dice data in any direction to get powerful insights without wasting resources.
Our future-ready platform enables self-serve analytics for multiple users so that you can achieve maximum insights at minimum cloud costs. And if security is your concern, don’t worry. Kyvos has inbuilt security features that allow role-based access, row- or column-level security, and single-sign-on integrations to keep your data safe at all costs.
Get Faster Time-to-Insights
One of the most persistent issues with cloud data warehouses is slower query responses. When queries run at a snail’s pace, your consumption increases exponentially. Since queries are charged by seconds, imagine the money you’ll spend on billions of data passes. Of course, it leads to shockingly high cloud costs.
Enter Kyvos with a Smart OLAP™ technology that breaks the speed barriers to offer instantaneous responses when analyzing billions of rows of data. We also have no in-memory costs to consider as all queries run directly on your cloud data platform.
Looking Ahead
Running business intelligence tools on the cloud can be cost-prohibitive unless you take appropriate measures to optimize your resources and budget.
Consumption costs significantly affect your business plans for any use case on the cloud. Make your cloud environment more scalable by including an unlimited amount of data anytime for any number of users with Kyvos.
Please contact our experts to know more about our platform capabilities or book a demo.
FAQ
How do I reduce my cloud costs?
Balancing the increasing cloud costs with its strategic advantages can be challenging. The solution is to invest in an advanced BI ecosystem that allows optimum resource utilization, even when running complex and multidimensional queries on massive data sets. This helps leverage the right mix of tech stack to get the best analytical performance at the lowest cost.
Why is cloud cost optimization important?
Consumption costs can significantly affect your business plans for any use case on the cloud. You need to make your cloud environment more scalable by including unlimited data anytime for any number of users. That’s where cloud cost optimization with Kyvos can help you accomplish your goals.