- Data maturity assessment
- enterprise data architecture
- data fabric and data mesh architectures
- reference architectures
- data modeling standards
- platform selection
- data operating models
- modernization roadmaps
Data & Analytics
Turning Operational & Enterprise
Data into Intelligent Decisions
Data & Analytics connects the data generated across networks, operations, assets, and enterprise systems
with the platforms, pipelines, analytics, AI, and governance needed to turn it into trusted insight and action.
Momentum brings together capabilities across the data and analytics stack, from data strategy and
integration through streaming, data platforms, engineering, business intelligence, advanced analytics,
governance, and security, helping organizations build, modernize, integrate, operate, and evolve data
environments that deliver trusted insight.
Technology Domains
Data & Analytics
Domains
Data & Analytics brings together multiple technology layers to move data from where it is created to
where it informs decisions and actions. Momentum works across these layers, combining data strategy,
engineering, platform, analytics, governance, and integration expertise to create data environments that
can scale and evolve.
- Batch ingestion
- ETL/ELT
- change data capture
- managed file transfer
- APIs
- prebuilt connectors
- iPaaS
- data virtualization and federation
- reverse ETL
- data migration
- integration of enterprise, OSS/BSS, network, and OT data sources
- Event streaming
- message queues
- stream processing
- windowed aggregation
- complex event processing
- time-series data
- telemetry processing
- event-driven architectures
- Cloud data warehouses
- data lakes and lakehouses
- open table formats
- object storage
- relational, NoSQL, and in-memory databases
- operational data stores
- time-series, graph, and spatial databases
- data platform modernization
- Data transformation
- distributed processing
- data cleansing and enrichment
- dimensional modeling
- semantic layers
- data products
- pipeline orchestration
- DataOps
- Dashboards and reporting
- self-service BI
- augmented and natural-language analytics
- KPI scorecards
- performance management
- geospatial visualization
- embedded analytics
- alerts and notifications
- data sharing
- Descriptive, diagnostic, predictive, and prescriptive analytics
- statistical modeling
- geospatial analytics
- text and unstructured data analytics
- optimization and simulation
- anomaly detection
- forecasting
- data science platforms
- machine learning
- model deployment and MLOps
- AI-ready data preparation
- Data catalogs
- lineage
- data quality and observability
- master and reference data
- metadata management
- data lifecycle, retention, and archiving
- stewardship
- access control
- classification
- masking and encryption
- privacy and consent management
- audit logging
- data residency
- compliance
Our Offerings
Data & Analytics: From
Technology to Delivery
Data transformation requires more than deploying a data platform. It brings together data
sources, pipelines, platforms, analytics, governance, and the operational and business
processes that depend on them. Momentum combines software, solutions, consulting,
engineering, implementation, and technical support capabilities to help organizations build
and evolve data-driven operations.
Software & Solutions
Intelligent software and transformation solutions that help organizations connect data
and analytics with operational processes, IT/OT management, workflows, and
enterprise systems.
Intelligent Fulfillment, Assurance & Service Transformation (iFAST)
Service Intelligent Operating System (SiOS)
IT/OT Management Platform
Digital Transformation Solutions
Services
Technology and engineering capabilities that help organizations design,
integrate, implement, operate, and continuously evolve data and analytics
environments.
Technology & Service Consulting
Application Development & Customization
Design, Engineering & Implementation
Operations & Technical Support
Ecosystem Overview
The Data & Analytics Technology Ecosystem -
Connecting the Layers Behind Data-Driven Decisions
Data & Analytics brings together technologies that traditionally operate across different domains, enterprise applications, network and operational systems, integration tools, streaming services, data platforms, analytics and BI tooling, and governance frameworks. Momentum works across these technology boundaries, integrating diverse data environments to help organizations connect the data they already have with new platforms and progressively evolve toward more intelligent, data-driven operations. The ecosystem supports integration across diverse technologies, platforms, vendor environments, and customer technology landscapes, enabling Momentum to address data and analytics requirements without being constrained to a single technology stack.
L6
Consumption & Insight
BI & Reporting
Data Delivery
Conversational
DashboardsSelf-Service BIKPI ScorecardsEmbedded AnalyticsData APIsAlerts & NotificationsData SharingNatural-Language QueryL5
Analytics & AI
Analytics
Specialized Analytics
Modeling & Machine Learning
DescriptiveDiagnosticPredictivePrescriptiveGeospatialText AnalyticsOptimization & SimulationMachine LearningAnomaly DetectionForecastingL4
Processing & Modeling
Batch Processing
Stream Processing
Data Modeling
Distributed ProcessingData TransformationStream ProcessingComplex Event ProcessingDimensional ModelsSemantic LayerData ProductsL3
Storage & Data Platforms
Warehouse & Lake
Databases
Specialized Stores
Data WarehouseLake & LakehouseOpen Table FormatsRelationalNoSQLIn-MemoryTime-SeriesGraphSpatialL2
Ingestion & Integration
Batch Ingestion
Streaming
Integration
ETL / ELTChange Data CaptureManaged File TransferEvent StreamingMessage QueuesAPIs & ConnectorsiPaaSData VisualizationReverse ETLL1
Data Sources
Enterprise
Network & IT
OT & IoT
Content & External
ERPCRMBillingOSS / BSSNetwork TelemetryLogs & EventsSCADA & HistoriansIoT DevicesDocuments & UnstructuredExternal DataStandards & Frameworks
SQL (ISO/IEC 9075)Apache ParquetApache IcebergOpenLineageDAMA-DMBOKISO 8000ISO 800GDPRISO/IEC 27001Swipe to explore the full diagram →
Industry Evolution
Technology Trends - What Is Shaping Data & Analytics
Lakehouse & Open Data
Architectures
Warehouses and data lakes are converging on open table formats, reducing duplication and keeping data portable across engines and clouds.
Real-Time & Streaming
Analytics
Analytics is moving closer to the event, with streaming pipelines feeding live dashboards, alerts, and automated responses instead of periodic batch reports.
Data for Generative AI
Generative AI and natural-language analytics depend on well-governed, well-described data, making data quality and context central to AI initiatives.
Data Products &
Domain Ownership
Data is increasingly managed as a product, with business domains owning curated, documented datasets that others can discover and reuse with confidence.
IT/OT & Network Data
Convergence
Business, network, and operational data are being brought together to create a single, contextualized view of services, assets, and customers.
DataOps & MLOps
Automated testing, versioning, and deployment practices are bringing engineering discipline to data pipelines and machine learning models.
Data Observability &
Automated Quality
Organizations are continuously monitoring data freshness, quality, and lineage, catching pipeline and data issues before they reach reports and models.
Governance, Privacy
& Data Sovereignty
Privacy regulation, data residency, and responsible-AI expectations are shaping how data is collected, stored, shared, and used.
Technology Outcomes
What Data-Driven Intelligence Enables
A connected data and analytics foundation helps organizations turn fragmented information into trusted insights and
informed action. By strengthening data quality, governance, and accessibility, enterprises can make more confident
decisions, respond faster to changing conditions, and improve operational performance.
Trusted, Consistent
Data
Create accurate, well-governed, and well-documented data that teams can rely on for reporting, decisions, and automation.
Faster Time to Insight
Shorten the path from raw data to answers through automated pipelines, reusable data models, and self-service analytics.
Real-Time Operational
Visibility
Bring together data from services, networks, assets, and customers to see conditions and issues as they happen.
Predictive & Proactive
Operations
Use analytics and machine learning to anticipate failures, capacity shortfalls, and demand changes, and act before they affect operations.
Governed Access &
Compliance
Make the right data available to the right people, with clear ownership, lineage, privacy controls, and audit trails.
Scalable Data
Foundations
Build a data foundation that can expand across sources, data volumes, analytics, and new AI use cases without rebuilding from scratch.
Industries We Serve
Explore by Industry
Telecom
Supporting telecom service providers, ISPs, subsea network operators, enterprise communications, data networks, and fiber optic networks.
Explore Telecom
Manufacturing
Supporting automotive, pharmaceutical, industrial, chemical, steel, oil & gas, and process manufacturing environments with digital, IoT, security, and automation capabilities.
Explore Manufacturing
Utilities
Helping power, water, wastewater, renewable energy, gas, transmission, distribution, and energy storage organizations modernize operations and improve resilience.
Explore Utilities
Infrastructure
Delivering technology services for transportation, roads, railways, metros, airports, ports, smart cities, critical infrastructure, and corporate infrastructure.
Explore Infrastructure
Consulting
Enabling consulting and professional services firms to scale digital delivery, automation, analytics, and technology-led client solutions.
Explore ConsultingBuild a Stronger Data Foundation
Connect data sources, platforms, analytics, and intelligence to create a data foundation that
can evolve with your technology and business needs.
