An off-the-shelf, customizable SQL Knowledge Graph enabled with graph algorithms, turns Google Analytics 360 data export to BigQuery into a user-friendly strategic tool, that shortens data science time-to-value and empowers marketing and sales teams with access to granular-level insights of visitors’ behavior across properties. Introduction Google Analytics (GA) is the standard version of the world’s …
The Formidable Google Analytics SQL Knowledge Graph Read More »
Introduction Over the years, the International Consortium of Investigative Journalists (ICIJ) has exposed hundreds of thousands of documents regarding offshore companies, foundations and trusts from the Pandora Papers, Paradise Papers, Bahama Leaks, Panama Papers, and Offshore Leaks investigations. Today, instead of trying to view the different investigation data split across different sources and locations, the …
Investigating Royalty and Offshore Companies with Timbr Read More »
Business users ask questions in business terms. Formulating the SQL queries that answer these questions require discovery and understanding of the data stored in the physical model. This is a painstaking process when data is stored in multiple tables and or databases. Semantic SQL is SQL used for querying SQL Ontologies that represent the business …
Relationships, inheritance and hierarchies in SQL to accelerate time to value Read More »
Datalakes, data warehouses, big data engines and most databases default back to SQL as their main query language, but anyone familiar with SQL is aware of the complexity of understanding and querying the data stored in hundreds of tables and columns to deliver answers to common business questions. SQL is versatile, easy to learn and …
What should we eat if we have certain dietary restrictions or pressing medical conditions? To answer this question we need to know what nutrients are contained in the food we consume and how these nutrients affect our health, and then we must be able to infer, from among the many possible connections, which kind of …
Creating a Dietary Recommendations Knowledge Graph with Timbr Read More »
Are you stuck with an ontology that you cannot leverage for the benefit of your organization? You are a chief data, chief architect or chief innovation officer. You undertook a promising project that implements a knowledge graph solution to solve an important use case for your company. You invested valuable resources to do so. You …
Introduction What are the differences between Timbr and graph databases? Google introduced its Knowledge Graph project in 2012 in order to enhance their search result quality. It also sparked a market for enterprise use of knowledge graphs. Timbr.ai disrupted the knowledge graph skyline in 2020 by introducing SQL ontologies. So, what makes Timbr so special? …
Timbr SQL Knowledge Graph: a different kind of Knowledge Graph Read More »
In this part 1 of 2, we explain the features and uses of the GA360 SQL knowledge graph. An off-the-shelf, customizable SQL Knowledge Graph enabled with graph algorithms, turns Google Analytics 360 data export to BigQuery into a user-friendly strategic tool, that shortens data science time-to-value and empowers marketing and sales teams with access to …
The Formidable Google Analytics 360 SQL Knowledge Graph Read More »
There is a built-in discrepancy between how businesses conceptualize their business domain, and how this conceptualization gets translated into concrete data models. Virtual SQL Ontologies resolve this discrepancy by delivering key capabilities to relational databases that data modeling can’t deliver, such as defining abstract concepts, business rules, context and relationships that enrich data. Data modeling …
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