Data Mess? Let Consolidation (ETL) Clean It Up
Some customers are capable and willing to handle projects in-house and use our expertise only for selected parts. This is usually the case with Data Consolidation or the ETL process. This service is part of a BI project, covering steps 2 to 4, as described in our third blog post.
“We will collect, combine, clean, and store your data from multiple sources and create a single point of truth for your best use.”
What are we doing as part of this service?
ETL Process
⎯Extract - we will collect data from multiple sources (SQL, Share-point, CSV, etc.)
⎯Transform - we will clean, deduplicate, validate, and explore the data
⎯Load - we will move data into the End target (DB, Data Warehouse, etc.)
Consolidation
⎯Data quality - we will improve data quality and integrity before its used in your operations
⎯Data analysis - we will provide actionable insights and forecasts
⎯Business planning - we will provide a complete picture of your entire operation
What will you get?
⎯Clear, clean, unified data with best practice principles
⎯Reusable data will save you time, space, resources, and finance
⎯Promoted. Thus, all departments can use trusted datasets (calendar, list of employees, customers, invoices, etc.)
⎯Streamline your processes
⎯Increased productivity by optimizing, and removing inefficient or redundant tasks
⎯Possibility to quantify processes, evaluate efficiency, and identify potential improvements
⎯Lower costs with improved efficiency
⎯Unblocking bottlenecks
⎯Data consistency
⎯Integration through a unified view
⎯Validation through accuracy, completeness, and consistency
⎯Strict policies through data entry establishment and regular process reviews
⎯Data Silo Avoidance through best sharing possibilities
⎯Insights will be shared as a full picture and won't be gathered by different departments separately
⎯Single point of failure - data loss avoidance
⎯Not only one person has access as data are on shared space, not only on the local machine
Authors:
Tomas Kavicky
Identification & Valuation Manager and a huge fan of Data Science, BI, MS Power Platform, and Six Sigma Principles,
Lukas Lani
Project Manager, technically based, open-thinking with strong analytical skills.
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