We are in the Information Age, characterized by big data generated both internally and externally; streaming in unstructured diverse format (email, social media, websites, news) etc. This overload do not make for easy collection and analysis, and more often lead to Analysis Paralysis.
Data Analytics is the science of drawing insights from raw information sources. At ETHOS, we do;
- Data Mining and Warehousing; extracting usable data from a larger set of raw data. The larger set having been aggregated/ integrated/ warehoused from multiple heterogeneous data sources.
- Data Analysis and Modelling; the analysis of data elements, their structure and relationships to each other. A conceptual representation and creation of data model for how the data get stored in a Database. Then systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data to extract useful information.
- Data Visualization; graphical representation of information and data.
By using visual elements like charts, graphs, maps etc.
Business intelligence (BI): the procedural and technical infrastructure set up to collect, store and analyze the data produced by a company’s business activities. BI encompasses data mining, process analysis, performance bench-marking, Diagnostic and Descriptive Analytics.
Advanced Analytics: the semi-autonomous examination of data or content beyond descriptive analytics (traditional Business Intelligence output), to discover deeper insights, make predictions, or generate recommendations. Advanced Analytics encompasses Predictive and Prescriptive Analytics.
EthosBI is the solution, providing analytical tools needed by individuals, businesses, organizations etc, to take in all data generated and present an easy to digest performance measures (KPIs) and trends that will inform decisions on projects, hiring, compliance, production, marketing etc.
We are skilled in evaluating stochastic processes and experienced in MS Excel, SPSS, SAS, SQL, R, Python Programming and Tableau.
To be more effective, we also seek to integrate EthosBI with the Accounting, HR and Integrated Management System, to increases the accuracy and timeliness of data captured.
Agri-Intelligence includes typical crop related data such as statistics for yield, acreage, production, crop progress, crop condition and crop health. It also includes ancillary data such as weather, including precipitation, temperature and growing degree days etc. Agri-Intelligence usually factor in market information such as supply and demand, crop prices, futures prices, imports, exports, regional and national government policies, key business changes, socio-economic conditions of the population etc.