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Financial Intelligence vs. Business Intelligence: What’s the Difference?

Jet Global

Again, the new CRM paradigm has presented an opportunity for those who were early to identify it and to fully understand the ramifications. This practice, together with powerful OLAP (online analytical processing) tools, grew into a body of practice that we call “business intelligence.” Making Sense of Disparate Systems.

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What is business intelligence? Transforming data into business insights

CIO Business Intelligence

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. BI aims to deliver straightforward snapshots of the current state of affairs to business managers.

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Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT

AWS Big Data

For Connection name , enter a name (for example, olap-azure-synapse ). Deselect Create final snapshot. The solution we presented performs a one-time migration of database objects and data. Provide a meaningful but memorable name for your project (for example, Azure Synapse to Amazon Redshift).

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Accelerating revenue growth with real-time analytics: Poshmark’s journey

AWS Big Data

IP translation – The IP addresses present in events will be translated to city, state, and zip, and enriched with other information to implement near-real-time, location-aware services encompassing security-related functions as well as personalization functions. Operational dashboards are hosted on Grafana integrated with Druid.

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Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. We begin with a single-table design as an initial state and build a scalable batch extract, load, and transform (ELT) pipeline to restructure the data into a dimensional model for OLAP workloads.

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Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

They ingest data in snapshots from operational systems. Next, they build model data sets out of the snapshots, cleanse and deduplicate the data, and prepare it for analysis as Parquet files. From their latest Presto presentation in August 2023, here’s what they shared: Uber’s success as a data-driven company is no accident.

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