Unleash your full growth potential through data-driven insights.
We understand the complexity of processing and analyzing your Data. Our team of experts will provide you with the necessary tools and processes to transform your Data into a business driving force.
Our Data team understands how critical data management is for
every business's success. For this reason we devised our
own Data LifeCycle Management approach to accompany you through
your entire data life-cycle.
Determine business objectives.
Define data
analytics objectives
Define interactions with the
existing organization.
Develop the project plan.
Identify the corresponding processes.
List the
causes and consequences.
Prioritize impact
processes.
Describe and sort the data.
Explore and examine
existing data.
Audit data quality.
Data Clean-up.
Refine the data by introducing new
variables.
Perform a uni-varied analysis
Format
and integrate the data.
Perform correlation
analysis
Analyze consolidated data.
Perform a statistical
analysis.
Define the modeling technique to be
adopted.
Perform rule-mining.
Develop
a test design.
Implement the selected modeling technique and build a
predictive models.
Conclude the rule mining to
identify appropriate rules.
Iterate the process
to refine the rules.
Make joint decisions to
deepen the analysis.
Evaluate preliminary results.
Approve the
model(s).
Define the possible result
visualization.
Determine next steps.
Discuss
operational action plans
Deploy the data model and the analytical model.
Plan
follow-up and maintenance.
Compile the final
report.
Review results and model(s)
We have a proven offering that assists data, business, and IT
departments in processing large batches of data from multiple
sources (internal and external) and storing it in a Datalake.
Our experts help you in developing secure and malleable architectures to assist you in addressing prevalent challenges associated with rigid or aging data architectures.
Cloud-based, on-premise, and hybrid–we build secure and flexible data architectures that promote the use of high quality, relevant, and accessible data. Built to grow along with your business, a solid data architecture supports your analytics needs, including business intelligence, data science, custom applications, and regulatory reporting.
We build data warehouses on modern platforms using
tried-and-true techniques to provide a central, governed
location for structured and semi-structured data assets.
We advise where your data should reside – in a data
warehouse, a data lake, or a combination of the two.
We can migrate your data assets to a modern, scalable cloud-based database platform such as Snowflake or any of the database platforms available on AWS and Azure. Your custom migration plan will include stand-up and configuration of the platform with technical migration details for all environments, training, and go-live procedures.
Get an evaluation of your existing Microsoft Azure or AWS environments for operational excellence, security, reliability, performance efficiency, and cost optimization. We'll provide detailed recommendations and guiding best practices to improve on these five areas and get the most from your investment.
We are committed to helping our clients preserve and grow their value, and to building products that attracts, develops, and inspires exceptional people.
