analytics
-
Where do you build analytical content: database or BI tool? The Pros and Cons of building analytical logic in the database Layer vs. the BI layer. When designing a data analytics system, one of the critical decisions involves where to place your analytical logic: in the database layer (e.g., stored procedures, views, or materialized queries)…
-
Data Federation (Zero-Copy): The new standard for data sharing Introduction Organisations are continuously looking for efficient ways to share data between platforms, particualry to surface data into data lakehouses and analytical platforms. Traditional data sharing typically involves copying and duplicating the data, which leads to inefficiencies and increased storage costs. A key approach to overcoming…
-
Bi-Modal Business Intelligence: The standard operating model for analytics Introduction The ever-changing landscape of data management and analytics has led to the evolution of business intelligence (BI) strategies. One development is the concept of bi-modal business intelligence (also known as Two Speed Analytics). This approach offers a balance between the stability of traditional BI and…
-
3 critical elements for business analytics delivery Introduction Business users are demanding BI dashboards to interact with their data to drive insights and action, containing both historical and forward looking data. They need bespoke content, layouts, interaction, navigation options etc along with the ability to converse between guided/set navigation and self-service capability. It’s a balancing…
-
What Are Time Series Snapshots? Introduction In the world of data analysis and forecasting, time series data plays a crucial role. It refers to a sequence of data points collected and recorded over a period of time. One important concept related to time series data is time series snapshots. In this post, we will explore…
The data slice 