Professional Services

Leverage the potential of data science through our specialized analytics services, offering sentiment analysis, anomaly detection, and customer behavior insights for precision-targeted actions.

Data Ops

By unlocking the potential of your greatest strategic asset, data, your business can improve outcomes across all areas of your business. It enhances the agility & resilience to the relentless changes occurring in the dynamic business environment. DataOps speeds up and cost-effectively delivers data products by enhancing collaboration between data pros and business stakeholders.

Define a strategic roadmap to establish a dataculture.
Identify data integration targets and build a unified data repository while ensuring data quality and a robust governance process to extract insights & drive data driven decision making.
Perform readiness assessments for industry 4.0, digital twins, and advanced data practices.

Data Architecture

Design and implementation of a robust data infrastructure, built from scratch or as a refit to your existing data systems. We follow best in class industry standard to provide:

Single source of truth though a centralized data store.
Business intelligence layer for advanced reporting and analytics.
Big Data foundations for AI and Machine Learning.

Data Management

Holistic practices to maintain clean and trustworthy data though your organization for more effective decision making and compliance with regulations:

Data Governance, to establish expectations.
Data Stewardship, to maintain fit for purpose.
Data Security, so that you can trust your data.

Data Insights/Intelligence

The best architecture is only as good as how you make use of it, seize the opportunity of bringing your data to life with any of several modern visualization and analytics tools.

Our Approach

We follow a 5 Step approach to define an effective data management strategy for your organization.

Step 1

Align

Align with your business objectives and strategic initiatives

Step 2

Define

Define robust data processes around (data ingestion, data transformation & preparation, data storage and analytics)

Step 3

Evaluate

Evaluating and implementing the right technology platform to establish a strong data infrastructure.

Step 4

Establish

Establish a data governance process- Creating policies and procedures for maintaining data quality, data security & data privacy.

Step 5

Train & Develop

Training & Development of Talent: Imparting the necessary training skills needed by your business and IT teams to analyze and maintain the data.

Customer Engagement

We understand that each business is unique. That’s why we offer a complimentary, no-obligation consultation to all our potential clients.

Step

01 Discovery Session

Schedule a discover call through our website to have an initial discussion. We want to understand your business, your data pain points, and your objectives.

Step

02 Data Assessment

In this phase, we’ll assess your current data infrastructure, pinpoint improvement areas, and propose custom solutions aligned with your business goals. We’ll deliver a concise summary report highlighting improvement areas and budget estimates based on assumptions and constraints.

Step

03 No Obligations

Our consultation during the discovery phase is entirely free and without obligations. You have the freedom to explore our recommendations and decide whether you’d like to move forward with our services or explore other options.

While cost may vary based on your business needs, clients can expect to budget approximate $100K for 500-hour project.

Typical Projects:

talk data strategy with an expert

Sign up to meet with one of our analytics experts who will review your data struggles and help map out steps to achieve data-driven decision making.

DIGITAL TRANSFORMATION

DATA, ANALYTICS & AI

PROJECT MANAGEMENT

OPERATIONS EXCELLENCE