Remove 2022 Remove Business Intelligence Remove Data Transformation Remove Reporting
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Revolutionizing the consumer goods industry with integrated business planning

IBM Big Data Hub

Additionally, dashboards and reports were crafted based on the budget models and conducted variance analysis for specific areas. The implementation process was done in several stages, from January 2019 and until August 2022, with product profitability being added in the final phase. Al Rabie Saudi Foods Co.

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The 10 biggest issues IT faces today

CIO Business Intelligence

Those dynamics are now reshaping the CIO agenda for 2022, forcing many IT leaders to reorganize their list of top concerns. Ever increasing demands for transformation. Indeed, the 2022 CIO Leadership Perspectives study from Evanta found that the No. Advancing data opportunities. Angel-Johnson shares that perspective. “I

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Supercharge Your Data Lakehouse with Apache Iceberg in Cloudera Data Platform

Cloudera

These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. No more lock-in, unnecessary data transformations, or data movement across tools and clouds just to extract insights out of the data.

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Why Data Lineage is Key to the LIBOR Transition

Octopai

As you may have heard, the existing London Interbank Offered Rate (LIBOR) will be retired on January 1st, 2022. Naturally, this will produce a massive growth in data management needs. In fact, the LIBOR transition program marks one of the largest data transformation obstacles ever seen in financial services.

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Build and manage your modern data stack using dbt and AWS Glue through dbt-glue, the new “trusted” dbt adapter

AWS Big Data

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

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Showpad accelerates data maturity to unlock innovation using Amazon QuickSight

AWS Big Data

The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers. In this post, we share how Showpad used QuickSight to streamline data and insights access across teams and customers.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

The data products used inside the company include insights from user journeys, operational reports, and marketing campaign results, among others. The data platform serves on average 60 thousand queries per day. The data volume is in double-digit TBs with steady growth as business and data sources evolve.