We understand that more data you gather the better quality solution you can produce. Our framework is designed to help our clients use their customer data and analytics to grow their client base and customer loyalty while increasing revenue and profits. We also provide our customers with predictive and measurable outcomes by leveraging information gleaned from social media, machine generated logs, web traffic data and other datasets and human generated information sources to truly provide a complete view to help enable making informed decisions.
We take data-driven approach to our work:
Business understanding
We listen and learn about your business and its needs. We review the data that you have, document it and identify data quality issues to get a better idea of how we can transform your ideas into useful, practical business solutions. Once the idea is fully understood, we define a data extraction strategy to achieve the business objectives within the current situation.
Data understanding
We collect and analyze data from different sources within or outside your organization. Using data mining techniques we carefully examine, explore and determine quality of the data. If your data is incomplete, we visualize and fill in the gaps with custom tools.
Data preparation
This is one of the most time consuming process. Once we identify the data source(s), the dataset is created by selecting, cleaning, constructing and formatting the data. We start getting familiar with the data, discover first insights and notice the patterns based on business understandings and best practices developed over years of working with enterprise customers
Modeling
We select the best modeling technique that can be well suited for the prepared dataset. Models are created by running modeling tool on the prepared dataset. For this feature, we create test scenarios to validate the quality and validity of the model. This ensures that the model has been properly created and they meet required business initiative.
Evaluation
We evaluate results by comparing generated reports with existing understandings and knowledge. During this phase new business requirements may be raised due to the new pattern that has been discovered in the model results or from other factors. The go or no-go decision is made at this step to move to the deployment phase.
Deployment
We work in an iterative fashion so that knowledge or information gained can be presented to stakeholders in such a way that they can use it when they want it. We create plans for deployment, maintenance and monitoring the project. The final report summarizes the project experiences and lessons learned which can be incorporated into the project early and often.
Technology Training
Once the product or project is deployed, we help clients to empower their team through consulting, training or knowledge transfer. Our experts guide clients in all areas of implementing new technology. We handover the project and educate your team on big data: handling large-scale information and advanced analytics through data science.
