Industry Consumer Goods and Retail, Media and Advertising
Specialization Or Business Function Customer Analytics, Supply Chain and Logistics, Finance, Sales, Media and Advertising
Technical Function Data Management (ETL), Data Warehousing (Data Integration, Scheduling & Monitoring), Business Intelligence (BI Infrastructure, BI Development, Reporting, Dashboards), Data Visualization (Dashboards & Scorecards, Data Mashups, Chart (Quantities, Distributions, Correlations)), Analytics, Marketing and Web Analytics, Software and Web Development (E-commerce, Web Programming, Scripts & Utilities)
Technology & Tools Business Intelligence and Visualization (Tableau), Big Data and Cloud (Amazon RDS), Data Analysis and AI Tools, Web Analytics Platforms (Adobe Analytics, Google Analytics), CRM, ERP, Accounting, Operations, Marketing Automation Tools (IBM Coremetrics, IBM Digital Analytics, Adobe Campaign, HubSpot), Programming Languages and Frameworks (Python)
Refreshing a Tableau workbook with batch processing of named data sources.
We are a full service marketing agency powered by 250+ marketing professionals in seven location in the US.
This project solves consolidated BI reporting of KPIs for global retail client
Expertise required includes Python development using the Tableau REST API
The data sources are primarily GA, IBM Digital Analytics, Adobe Analytics, Sprinklr and Amazon Redshift. We already have a tabluea workbook created and the GA data connector is already deployed. Secondary sources include Facebook, Hubspot, Pinterest and POS data
The deliverable is integration code that updates views of a Tableau workbook from named sources with some normalization and blending where applicable.We are using the latest version of Tableau.
Additionally client is moving towards redshift. Once data is consolidated we will have to future proof the workbook by setting up a connection between redshift and Tableau.
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