Predictive data Analytics
our predictive analytics services for SMEs focus on the extrapolation and forecasting of historical sales, marketing, or inventory data to predict future demand and trends. The predictive data analytics process uses advanced software like R and excel to forecast customer demand, analyze customer behaviors, predict cash flow, revenue trends, and budget planning. Develop marketing and sales insights from structured and unstructured historical business data.
Our Analytics Approach
Data Collection
With end-to-end encryption, data is obtained from clients via any means. Examples, Google Cloud Storage or AWS.
Data Cleansing
Be it structured or unstructured data, our team approach the analytics process by pre-processing the data, ensuring that missing values are addressed, outliers are removed, and proper formatting are in place. Technologies like R or MS PowerBI are usually used by our team to address the cleansing process.
Data Analysis
Our team conduct in-deep analyses of clean quality data using technologies like R, MS Excel, SQL, PowerBI or Python. Data can be presented in different visuals to aid our analysts in developing the rightful insights into the data.
Data Visualization
Our analysts use modern advanced technologies such as Microsoft PowerBI, Salesforce’s Tableau to create dashboards for practical insights and analysis.
Business Intelligence (BI)
At the end of the analytics process, our analysts develop a Managerial Report for each analytics project as a final package for our clients.
Small Business Development
and Consultancy
We help you build and manage your small business from the very start. Our team guides you through strategic planning by identifying target markets, customer needs, industry trends as well as developing a roadmap for growth, short-term and long-term goals.