In the ever-evolving landscape of business, mergers and acquisitions have become a common strategy for growth and expansion. While these ventures offer exciting prospects, they also present complex challenges, especially when it comes to consolidating data from different systems into a unified and efficient data warehouse. This blog post aims to provide insights into optimizing data warehousing through process improvement after a company merge, focusing on the integration of data from legacy systems.
Tag Archives: data science
Digging into Logistics: Data Analysis with SQL
By understanding customer priorities you yield profitable insights. When you plan your data analysis around your strategic goals and customer priorities you reduce waste and enhance productivity. Below I have developed a relative logistics SQL database schema to demonstrate my skills. (SQLlite Source) CREATE TABLE customers ( cust_id INTEGER PRIMARY KEY, cname TEXT,Continue reading “Digging into Logistics: Data Analysis with SQL”
Notable Bookkeeping: SQL Work Portfolio Showcase
Happy Friday! I hope you’ve had a great week! Notable Bookkeeping can code! We are proficient in SQL, Python and HTML. See our work samples here. We’re also proficient in Excel including data manipulation methods, such as, vlookup, formulas, pivot tables, graphs and conditional formatting. How are we different? We align customer priorities with strategicContinue reading “Notable Bookkeeping: SQL Work Portfolio Showcase”
Planning a Data Analysis
At Notable Bookkeeping we believe a successful data analysis is attributed to how well it was planned. It will weed out the factors that do not have a relative effect on the response variable and identify the best value points for the factors that do have a relative effect on the response variable. When conductingContinue reading “Planning a Data Analysis”
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