Data Mess? Let Consolidation (ETL) Clean It Up

Touch4IT redakcia
Touch4IT
Jul 20, 2023
2 min read
Data Consolidation (ETL)

Some customers are capable and willing to cover projects in-house and use our expertise only for selected parts, this is usually the case of Data Consolidation or ETL process. This is a service or part of BI project, covering steps 2 to 4 as described in our 3rd 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

Data Source | ETL | Data Warehouse | Touch4IT

What will you get?

⎯Clear, clean, unified data with best practice principles

⎯Reusable data will save your time, space, resources, and finance

⎯Promoted, thus trusted datasets can be used by all departments (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

Data Sources | Touch4IT image

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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Ready to take your business intelligence to the next level? Let's discuss how we can help you achieve your goals - contact us via email atlukas.lani@touch4it.com.