Managing large-scale data warehouse systems has been known to be very administrative, costly, and lead to analytic silos. The good news is that Snowflake, the cloud data platform, lowers costs and administrative overhead. However, analytic silos can still be a huge problem if the business intelligence platform paired with Snowflake does not offer the right balance of IT governance and end-user self-service. Customers such as Crossmark, DJO Global and others use Birst with Snowflake to deliver the ultimate modern data architecture. The Snowflake/Birst combination creates the optimal balance bet ..read more

How many duplicated, dirty data pipelines are running throughout your organization? Probably more than you can count. Data-as-a-Service (DaaS) streamlines the chaos of ungoverned data pipelines and reporting silos created by users who are eager to use data, whether they are simple data inquiries from business analysts to more complex data questions from data science teams. With Birst, you can create DaaS today so that data is used efficiently and consistently to support different layers of reporting and analytic needs – from a small centralized IT team to tens of thousands of decentralized use ..read more

Data visualization tools, desktop data discovery tools, and visual analytics are examples of traditional self-service BI tools that business analysts embrace because they provide a user-friendly way of quickly turning data into insights. These tools are geared toward business analysts that have the skills and knowledge to acquire the right data sets, perform the analysis, and present the insights needed to solve a business problem. Often, these data sets acquired by business analysts are not governed or managed by IT, but this is acceptable because business analysts have enough business knowle ..read more

Have you used a digital product or service while shopping in the past year? The answer is almost certainly “yes” and each time you are online, your actions generate data – from research, online ordering or in-store pickup, coupons, mobile payments, voice commands and more. The question is, how do retailers make the best use of this data to stay ahead of the competition? From the massive amounts of data that are being generated from your digital interactions, retailers have an opportunity to collect this data, along with other information, to effectively identify problems, opportunities and sol ..read more

Cloud, digital transformation, mergers and acquisitions, big data analytics, data monetization, and more are all critical business initiatives creating an even greater divide between centralized IT and decentralized analytic teams in the business. This is why it is all too common for an organization to utilize at least two different Business Intelligence (BI) tools to support these different analytic needs. Dresner Advisory Service’s 2018 Wisdom of Crowds® Business Intelligence Market Study Therefore, struggling to unify these teams to maintain trusted Key Performance Indicators (KPIs) enter ..read more