The Leading Comprehensive Data Analytics Platform
Improve business operations and effectiveness with data analytics.
Eledata is an advanced data analytics platformthat performs data integration, modeling, and reporting processes on a daily basis for improved, targeted insight.
All Eledata requires from you is a collection of raw data sources in any format and a set of queries defined as criteria for our analyses. The rest is in our hands.
Developing predictive analytic models is part of Eledata’s daily routine. As such, we are always prepared with the necessary tools and skill set to tackle anything you throw our way. Upon receipt of data input, we start the project immediately.
A team of data scientists, analysts, and software developers - all led by a project manager - will be assigned to each project. All team members are equipped with extensive experience and expertise in the field of data analytics.
We design a detailed project schedule catered specifically towards your stated criteria. An outline of the Predictive Analytics Pathway is used as an initial starting point, but the ultimate timeline and scope of the project are dependent on your requirements.
Big Data Capability
Eledata makes use of big data technologies to process large datasets and facilitate automated data manipulation for quick, scalable analyses. We leverage advanced tools and platforms that can handle data consisting of billions of rows in size.
Eledata conducts its analyses to identify and define target groups within various segments of your business (customers, products, locations, etc.). We examine behaviors within each segment to determine key trends.
Our in-depth data blending services allow you to provide raw data from multiple, varying sources. Once the data is merged and corrected of errors such as duplications, typos, etc., we will enrich the data to derive new, enhanced fields which may later become determinant parameters.
We apply various statistical tests and analyses coupled with comprehensive modeling to discover inter-linkages, enact dependencies, and resolve complexity from the data. Parameters that are determinant to leading questions will be identified and further analyzed.
For user-friendliness, intuitive insights, we visualize analyses into dashboards and reports. On the back-end, we define the best viewing parameters and filter input accordingly. You can then interactively perform different predictive queries on visual models. We also provide insights in the form of formulas/logical statements
Once a trained model is built, the model is back-tested with known, historical data to evaluate accuracy of the prediction against actual values that have occurred in the past. Analytic modeling will be re-iterated until results are satisfactory and the best model is found.
After modeling and analytics are complete, insights may alter overtime as customer behavior changes. As a result, we offer optional, additional maintenance to attune the model with newer sets of data to reflect updated customer behaviors.
Return on Investment
We typically see a high percentage of increase in conversion following our data analytics and a similar percent increase in net profit depending on the product. The insights generated from our analytics provide clients with the necessary information to grow their business.