For many organizations, analytics and AI are priority boardroom agenda items. “Data as an asset” is no longer optional and must be part of an organization’s strategy. With better insight into data, organizations can drive rapid innovation, unlock new business models and revenue, and improve customer experience, while positively impacting revenue.
Analytics requirements can range from cyber analytics, graph analytics, customer 360° enablement, and data monetization to fraud detection. No matter what your organization needs, building a flexible platform that creates faster, data-driven decision-making while increasing revenue, reducing risks, and decreasing costs are imperatives. Infinitive helps you “get value from data” across the entire analytics ecosystem to help you gain insight with descriptive analytics (e.g., what happened? how many?), diagnostic analytics (e.g., why did it happen?), predictive analytics (e.g., what will happen next?) or prescriptive analytics (e.g., what’s the best that can happen?).
Data Analytics and AI Services
Infinitive is a transformation and technology consultancy that delivers end-to-end analytics capabilities to deliver impactful business results. Our proven track record of helping clients across multiple industries means we can ensure your business objectives are met while implementing risk mitigation strategies to successfully build a flexible data platform on time, on budget, and with minimal disruptions. Infinitive’s expertise includes:- Data Advisory: Maturity Assessment, Strategic Alignment, Roadmap, Data-driven Executive Readouts
- Data Architecture: Data Hosting Infrastructure, Data Governance, MDM, Data Modeling & Design, Reference Data Architecture
- Data Migration: Moving from On-premises to a hybrid or Cloud-native data architecture and operational model with accelerators and data quality checkers
- Data Access, Security, and Privacy: Meeting compliance requirements, starting our maturing data security posture, IAM and pre-audit support, and post-audit remediation
- Data Visualizations: Dashboard and “What-If” Analytics
- Data Science and Analytics: Visualizations, IoT Analytics, Graph Analytics, Geospatial Data Visualization
- AI/ML: Image/Video/Speech Analysis, Embedded Analytics, Anomaly and Insider Threat Detection, Graph Analytics, Text Mining, and Sentiment Analysis
This Is How We Do It
No matter where you are in your data and analytics journey, we can help you accelerate your current progress with our data governance and strategy framework, which delivers organizational data democratization via AWS, Snowflake, and Databricks-based analytics ecosystems rooted in data governance
Data Architecture & Lakehouse Design
Data Hosting Infrastructure, MDM, Data Modeling & Design, Reference Data Architecture
Data Governance & Strategy
Planning, Oversight, and Control Over Management of Data and the Use of Data and Data-related Resources
Data Access, Security & Privacy
Ensuring Privacy, Confidentiality, Role Based Security, IAM
Metadata Management
Data Lineage, Data Catalog, Data Provence, Self Service Data Prep
Data Quality
Defining, Monitoring, Maintaining Data Integrity, Improving Data Quality
Data Transformation
Ingest, Batch/Streaming ETL, CDC, Data Delivery, Data Enrichment
Database Administration
Data Assets Storage, Archiving, Deployment, Management, DB Configuration, Data Migration
Data Science & Analytics
Data Visualizations, IoT Analytics, Graph Analytics, Geospatial Data Visualization
AI/ML
Audio, Video, Unstructured and foreign language data
SOURCING (ZONE 1)
- Data Profiling
- Highly Secure
- Could Contain PII
- Low-Latency
- Change Data
- Capture (CDC)
TRANSFORMATION (ZONE 2)
- Low Cost & Easy to Govern
- Data exists in raw and curated format
- Transform and process at scale
- Raw data gets fransfromed, modeled, and agregated by department and subject area for analytic workloads
- Data Quality checks performed when data moves from zone 1 to zone 2
- Data Scientists use raw data for statistical & ML workloads
- Manage inter-task dependencies (DevOps)
- Data As A Service (DaaS)
- Master Data Management (MDM)
- AI/ML
- Data Enrichment apply business rules, validation (e.g. postal addresses)
CONSUMPTION (ZONE 3)
- Cleansed & Curated Data used by Analysts
- Data Catalogs can be traversed for Data Discovery
- Self-Service
- Forecasting
ARCHIVAL (ZONE 4)
- Archive
- Time window: Rarely accessed
Why Work with Infinitive
- Impactful business results that help you reach your goals
- Customized solutions leveraging our proven frameworks
- Sustainable change management practices to drive adoption, enablement, and sustainability of our solutions
- Cost-saving results that utilize the cloud and for faster time-to-value outcomes