Data Analytics Consulting
Unlocking the power of your data
Provide data infrastructure and analytics services to allow your executive and operational teams get access to data closer to real-time, automate and accelerate the reporting process, and deliver advanced insights
Core Capabilities
Infrastructure
- Cost Optimization
- Data Usage
- AWS
- Azure
- Oracle
- Mongo DB
- Snowflake
- Dbeaver
- SQL workbench
Engineering
- ETL (Extract, Transform, Load)
- Data Cleaning
- R
- Python
- No / Low code
- SQL
- DAX
- Others
Analytics
- Historic Analyticse
- Insight Extraction
- Forward looking analytics
- Data-driven decision making
- Machine Learning
- AI / Recommendation Systems
Automation /
Visualization
Automation
- Data Gateways/ Dashboard Automation
- Visual Workflows (Alteryx)
- RPA (UI Path / Power Automate)
- Software development
Business Intelligence
- Tableau
- Power BI
- Google Data Studio
- Others
* Functional Areas: Procurement, Supply Chain, Finance, Customer, Marketing, and Others
* Lists are representative and not exhaustive of capabilities
Common Use Cases
- Revenue and Margin trends
- Budget vs. Actuals
- Product / Service profitability
- Days Receivables Outstanding
- Working Capital / Debt Ratios
- Automated reporting
Control
- Spend Dashboard:
* Top suppliers
* Top categories
* Top facilities/locations
* High usage items
- Triggers / notifications
- Days Payable Outstanding
- Supplier management
Metrics
- Balanced scorecards across departments
- Supply Chain: Inventory planning / segmentation, On-time delivery rates, storage capacity, etc.
- Sales: Opportunities, conversion rates, etc.
- HR: Overtime, absentees, turnover, etc.
Insights
- Customer Demographics
- Customer Life Time Value (LTV)
- Repeat / Churn Rate
- Customer Acquisition Costs
- Net Promoter / Satisfaction Scores
- Platform conversion rates
* Functional Areas: Procurement, Supply Chain, Finance, Customer, Marketing, and Others
* Lists are representative and not exhaustive of capabilities
Case Studies
Overview
A Private Equity firm was facing challenges accessing data to prepare reports for their portfolio companies. Each portfolio company had a different system and accessing their data was complex
Solutions
Established a data infrastructure composed of a data warehouse and data lake to store and access data from different sources
Created automated and streamlined connections to multiple data sources, leveraging ETL, to create one source of truth
Created visualizations in Power BI to show executives their financial and comercial metrics real-time
Conducted advanced data analytics
using Python and AI
Results
2 day reduction (66%) in weekly reporting times
12 day reduction (75%) in quarterly and yearly reporting times
Introduced 15 innovative products using R&D Analytics
10-20% increase in revenue post solution implementation