Unlocking the Power of Data Handling
Imagine access to data offering valuable insights into public data, if there is open access, this would enabling companies to amass a diverse range of data on subjects spanning economy, health, or energy usage.
To optimize the efficacy of this data and transcend mere consumption, especially for in-depth analysis, utilizing Data Islands becomes essential. Traditionally, the process involves preparing a table for data import, followed by running a manual import wizard. However, with data islands, this workflow is streamlined. The import step can be executed, automatically generating a table, and the entire process can be automated to run at predetermined intervals.
Data reconciliation within Data Islands allows cross-matching based on columns in different tables. This is achieved by identifying a field in each table that serves as an exact match, such as a company or product name. Additionally, partial matches are feasible, as well as comparisons based on dates. For instance, you might want to correlate products sold in August with August’s Covid incidences, exploring potential connections. The versatility of Data Islands opens avenues for nuanced and insightful analyses.
In the following video, we illustrate this concept using an Irish example sourced from data.gov.ie. The process involves downloading raw data in .csv format, followed by uploading it into the Cloud using Data Islands. This innovative approach allows users to deposit multiple datasets onto a data island, facilitating queries for relevant information.
Whether the objective is trend identification or reconciling disparate data sources, Data Islands prove to be an invaluable tool.
What sets this method apart is its capacity to manipulate, reconcile, analyse, share, and securely store data. SQL skills emerge as the sole requirement to construct a potent database filled with insightful information.
In conclusion, by embracing Data Reconciliation techniques, individuals can unlock the true potential of the data at their disposal, transcending mere data consumption to harness actionable insights and make informed decisions.
