Analytics strategy and roadmap
Prioritize decision-making use cases, define KPIs and identify the data needed to support them. Agree what the first release will deliver, how success will be assessed and which legacy reports remain in service.

Turn business questions into governed dashboards, useful analysis and a cloud analytics experience your teams can adopt.
Bring the decision into focus.
TechTiera provides SAP Analytics Cloud consulting for requirements assessment, data connectivity, semantic modeling, story development, security, planning integration and ongoing support. We connect SAC implementation with the reporting processes and data foundations your organization depends on.
SAP Analytics Cloud, often called SAC, brings business intelligence and planning into a cloud service. The right design depends on the business question, source systems, connection method, access model and functionality required. SAC is a separate product from SAP BusinessObjects BI.
Build a focused engagement or combine services into a wider modernization program. Scope and acceptance criteria are agreed for your environment.
Prioritize decision-making use cases, define KPIs and identify the data needed to support them. Agree what the first release will deliver, how success will be assessed and which legacy reports remain in service.
Evaluate supported live and import connections for your SAP and non-SAP landscape. Design measures, dimensions, hierarchies and access controls around consistent business definitions, with refresh requirements and source-system dependencies made explicit.
Build role-based stories, management dashboards and drill paths. Translate business questions into layouts and interactions, then validate calculations, filters, usability and performance with the people who will use the solution.
Assess existing WebI reports, universes and dashboards. Classify content for retention, retirement, redesign or migration; preserve business rules and reconcile agreed metrics as workloads move into SAC in controlled waves.
Connect analytics to your planning process. Coordinate actuals, forecast versions and management views with the appropriate planning models and integration design, rather than assuming every analytical model supports planning operations.
Develop role-based training, authoring standards and support ownership. Help administrators and business authors maintain content, manage access and releases, investigate issues and expand adoption after the initial rollout.
Choose live or import based on source support, latency, security, functionality and operational constraints.
Separate interactive decision support from fixed-format reporting and high-volume distribution needs.
Agree KPI reconciliation, access tests, performance expectations and business-owner sign-off.
A potential engagement pattern to help frame your requirements.
A finance team wants a consistent view of revenue, margin and operating costs across SAP and non-SAP sources.
Define shared measures, select the connection approach, develop a management story and validate the numbers against approved source reports.
KPI definitions, a connection design, a prioritized story backlog and a repeatable acceptance process.
Every engagement should leave you with more than a configured platform. Agree the deliverables, decisions and evidence that make the work usable.
Identify business decisions, users, data sources, reports, models and operational dependencies. Agree the problem and the scope before selecting the solution.
Landscape and dependency mapCompare fit, constraints and delivery options. Define the target architecture, work packages, acceptance criteria and responsibilities.
Prioritized roadmap and scopeImplement in manageable releases. Reconcile business results, test access and performance, and record exceptions with business owners.
Test evidence and accepted releaseDocument the solution, transfer knowledge and transition into an agreed support model. Improve the landscape as business needs evolve.
Runbook and support handoverPractical guidance for your next SAP analytics decision.
A typical engagement includes use-case discovery, connection and model design, story development, security configuration, testing, training and support transition. TechTiera scopes these activities around your source systems, users and delivery priorities.
No single replacement assumption fits every estate. Interactive analytics, fixed-format output, scheduling, distribution and custom integrations have different requirements. We assess each workload and identify what to migrate, redesign, retain or retire.
The choice depends on supported source systems, data latency, security and the functionality you need. Live and import connections have different behavior and restrictions. We validate the relevant connection and feature combination before committing to a design.
Yes. TechTiera has helped multiple clients with BusinessObjects-to-SAC migration. Our approach starts with report inventory and business-rule discovery, followed by target design, reconciliation, phased rollout and user adoption.
Planning must be deliberately scoped. Planning models, versions, data entry, calculations and process ownership require their own design. Our SAP Business Planning services address that work alongside SAC analytics.
Share your source systems, key reports, user groups, planning requirements, connection constraints and current pain points. A representative set of reports and business definitions helps us define a useful first assessment.
Technical content reviewed 27 October 2026. Confirm the current SAP documentation, installed versions and licensing for your environment.
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