GHJ helps clients discover, store, share and analyze data using the latest technologies.
Automation assists in cutting down the time and resources spent performing highly repeatable menial tasks that could be done faster and more reliably by a computer. The opportunities in automation include data preparation/cleaning, transformation, pipelining and reporting.
Business Intelligence leverages data to build KPIs and visualizations such as dashboarding and interactive visualizations. These tools build a data narrative that supports descriptions and diagnostics. In addition, business intelligence includes data acquisition and extraction, which means getting your data where it needs to go and connecting separate systems to get them “talking to each other.”
In order to get the most from your data, you need a platform run by a liaison who is both familiar with your business needs and well-versed in data analytics.
Data Science is data modeling on a large scale for intricate modeling and machine learning. This includes unstructured data analysis and unsupervised learning models. It is best served for those with an abundance of available training data who are seeking a more nuanced result (an example of a very sophisticated model would be a credit card’s automated fraud detection model where there is an abundance of transaction data and relatively low stakes for false positives/overfitting).
For data modeling to be useful and informative, the underlying data has to be uniform, well cleaned, prepared and well documented. Data governance provides documentation, standardization and guidelines for what raw data means and how it will be entered into storage for use in modeling.
A simple example of a data governance issue would be storing payment data in multiple currencies without converting to USD (or documenting additional currency information). This will cause issues immediately as real time data is not being assessed along with reporting down the line because the currency used will need to be determined, as well as the conversion rate on the date/time of payment.