Enabling Enterprise Transformation with Modern Data Analytics Solutions.
Data Strategy
Fostering Enterprise Data Excellence through Strategic Planning, Architecture, and Analytics Solutions.
Staying ahead of the curve with a thorough understanding of emerging trends, techniques, and technology capabilities.
- Trends in data solutions
- Insights on tools, techniques and services
- Exploratory research lab
- Engage in industry forums
Setting a clear direction by assessing current state, desired outcome, and the path to get there.
- Establish ambition
- Deep-dive into existing data & data solutions
- Determine Target State
- Identify issues and constraints
Accelerating insights with cutting-edge real-time data solutions.
- System Architecture – cloud & on-prem
- Customer Journey
- Design Thinking
- Implementation considerations
Guaranteeing data quality and security through proper management and governance practices, paving the way for dependable analytics.
- Current State assessment
- Governance Operating Model
- Metadata management
- Policy, process and procedure review
Data Engineering
Improving the efficiency of data transfer with flexible and nimble data pipelines.
Building and maintaining a robust analytics infrastructure that transforms raw or unstructured data for large-scale analysis.
- Data architecture & management
- Data modeling & analysis
- Engineering
Adhering to strict data engineering practices to ensure data legality, organization, safety, accessibility, and credibility.
- Provisioning
- Monitoring & Security
- Policy adherence
- Disaster Recovery
Data Management
Empowering clients to make informed decisions through efficient data management and control, leading to accurate insights and streamlined decision-making processes.
Establishing trust in data requires equipping its stakeholders with the necessary tools, training, and guidelines.
- Continuous training and awareness
- Policies and standards
- Roles and Responsibilities
Ensuring the quality of critical data by implementing procedures to monitor, report, and address accuracy, completeness, and integrity issues.
- Defined quality criteria
- Automated DQ checks
- Strong governance to mitigate DQ issues at the source
Developing comprehensive data glossaries, including data lineage, to enable users to understand and access business data with ease.
- Business glossary & data dictionary
- Data Lineage
- Master, Reference, and Static data standards
Data Visualization
We uncover valuable insights from intricate data through visualization techniques such as dashboards, which simplify the process of recognizing patterns, trends, and peculiarities.
By utilizing precise data visualization, the reporting procedures can be elevated to unparalleled heights.
- Making complex data accessible, understandable, and usable
- Transform, improve, and integrate data
- Combine data from multiple sources
- Deliver data in a useful and appealing way
Accelerated and precise insights from data are achieved with advanced visual representations.
- Data cleaning
- Statistical analysis & modeling
- Dashboards and enhanced visualization
- Better and faster insights
Expert proficiency in top-notch industry tools.
- Tableau
- Qlikview
- Microsoft Power BI
- and more...
Data Science & Modeling
Examine and record descriptive, predictive, and prescriptive models that can be generalized beyond current observed instances.
Conduct an initial exploration of accessible data to grasp the potential for analytics.
- Data distribution histograms
- Data completeness assessment
- Outlier detection & Class (im)balance
- Feature importance, sensitivity analysis
Fuse domain expertise, mathematical abilities, and masterful architectural and programming proficiency to yield robust, consistent, and insightful results from data.
- Scientific literature review
- Data cleaning feature engineering
- Dimensionality reduction
- Model proof of concept
Employ diverse modeling techniques to determine the optimal model(s).
- Natural Language Processing, translation, understanding
- Computer Vision
- Speech detection, recognition
- Audio/image noise reduction
AI Platform Development
Transforming into a data-driven organization entails embracing automated decision-making as a fundamental aspect of daily operations.
Closing the divide between solution architecture and technical execution in code.
- AI Architecture
- Choosing the right tools
- Model benchmarking
- Model implementation
Preserving AI models poses a challenge, necessitating ongoing monitoring, comprehension of limitations, and adaptation to the evolving world. We adopt a comprehensive, cyclical approach to model maintenance.
- Deployment & Monitoring
- Training data enhancement
- Model enhancement
- Performance metric refinement
The most frequently used types of decision-making systems based on the application are:
- Prediction & Forecasting
- Intelligent search and Conversational AI
- Fraud & Risk management
- Process (re)Engineering and Knowledge maps
- Decision support systems
Evaluate the performance of the AI solution in meeting desired business objectives, and its resilience under adversarial conditions.
- Data drift and concept drift estimation
- Adversarial model analysis
- AI impact on privacy assessment
- Hardening models against adversarial attacks
Cognitive & Intelligent Automation
Enhance business efficacy by implementing Artificial Intelligence (AI), Business Process Management (BPM), and Robotic Process Automation (RPA) in the optimal balance and at the appropriate locations.
Specialized solutions/bots adept at communicating with both humans and computers, deeply connected to specialized downstream systems, can minimize the friction between individuals seeking information and accessing it.
- Read, comprehend, and extract facts from documents
- Interact with documents in Question-and-Answer fashion
- Use linguistic features to express an idea/concept
- Analyse and improve decision making process across services
Identify patterns and suggest process enhancements in vast human and machine communication networks.
- Specialized integration with well-known communication systems
- Forecast failure rate and recommend remediation strategies
- Track all paths followed in completing a transaction
- Determine various (controlled and otherwise) causes leading to failure
Streamline time to market, response time, and business inefficiencies through automated decision-making.
- Track all paths followed in completing a transaction
- Determine various (controlled and otherwise) causes leading to failure
- Faster and more intelligent self-help portals
- Automated decisions based on heuristics and management preferences
Health and Fitness
