November 22, 2022
3 Data Analytics Challenges and Examples of How Decision Intelligence Can Help You Tackle ThemThis blog post is part of a series from Ganes Kesari, entrepreneur, AI thought leader, author, and TEDx speaker. He co-founded Gramener, where he heads Data Science Advisory and Innovation. He advises executives on decision-making with data. He helps apply…
November 17, 2022
Making Everyone a Power Data Analyst with a Semantic LayerThe number of data analysts at your organization is a limiting factor that determines how many stakeholders are able to make data-driven decisions. To make better-informed decisions, organizations need to increase the number of people with the tools and expertise…
November 15, 2022
How to Streamline Data Science Workloads and Feature Engineering in SnowflakeOur partnership with Snowflake has drastically sped up our customers' data processing capabilities by eliminating the need for tedious data engineering tasks. By driving workloads directly to Snowflake, users can create accelerated time-to-prediction rates and a more efficient method to…
November 10, 2022
4 Effective Data Storytelling ElementsEffective data storytelling is integral to ensuring your organization leverages data insights. But how can you tell a meaningful data story that influences action? An analytics-driven culture doesn’t crop up overnight — it’s built through effective data storytelling. Implementing a…
November 8, 2022
How You Can Unlock Decision Intelligence at Scale by Aligning BI with AIRecently, I was talking to the head of technology at a retail conglomerate. The executive was actively planning his foray into data science and asked me, “How can we make the transition from business intelligence (BI) to artificial intelligence (AI)?”…
November 3, 2022
Modernize Your SSAS Architecture with Databricks and AtScaleThis post was written in collaboration with Swaroop Oggu, Solutions Architect at Databricks. Dimensional analysis is an important tool for building analytics-oriented data products (e.g. interactive dashboards) based on data assets managed in a lakehouse. Historically, dimensional analysis has been…
November 1, 2022
4 Key Takeaways from the Semantic Layer SummitWe recently hosted a virtual Semantic Layer Summit with our friends at Snowplow, Databricks, DAS42, and InterSystems. During the event, we gathered data leaders and top industry technologists to discuss the importance and impact of using a semantic layer for…
October 27, 2022
How To Improve Data Quality Using a Semantic LayerData quality is one of the most difficult — yet essential — elements for businesses to master to achieve their operational goals. This post explores multiple facets of data quality and explains how to turn fragmented, inaccurate, and unusable data…
October 25, 2022
How to Drive Better Insights with an Analytics-Driven CultureI recently spoke with a roundtable of data and culture industry experts about how to foster an analytics-driven culture to drive more actionable, valuable insights. We discussed how organizations can become data leaders, the importance of change management, and why…
October 20, 2022
How To Implement Decision Intelligence in Your Enterprise With A Semantic LayerHow To Implement Decision Intelligence in Your Enterprise With A Semantic Layer On average, firms invest over $38 million in data and analytics. However, more than 79% of these firms end up with zero or negative returns on this investment.…
