تخطي إلى المحتوى الرئيسي
Microsoft
separator
https://catalogartifact.azureedge.net/publicartifacts/eidebaillyllp.analytics_a_and_d_deep-327e0f54-206a-4f9b-b590-98eea551b54d/image0_EBLogoUpdatedBlackBlue216pxsquare01.png

Azure Reporting & Analytics Analysis & Design: 3-6 Week Assessment

Eide Bailly LLP

Data architects from Eide Bailly Analytics will hold Analysis & Design sessions (remote or onsite*) with each of your departments to gather information on your specific business processes, needs, current reporting processes, existing Azure/Microsoft-cloud footprint, & data-state/situation. We find a data/analytics champion within your organization & work with them to put together written recommendations & an assessment to begin your Azure data analytics strategy including the items below. This assessment benefits a range of users from mid-market companies who may have limited-to-no analytics, to enterprise companies who need specific guidance on tools or staff augmentation/support. Our team provides this assessment & can provide further support from a full implementation & management team to simple guidance/training.



Deliverables
  • Prioritized milestones
  • Azure software/ETL stack recommendations (ex. Data Factory, Logic Apps, Azure SQL Database, Synapse, Snowflake, DevOps/GitHub, Power BI, etc.)
  • Source-system overview (source prioritization/complexity, data size, automated extraction methods, refresh frequency, etc.)
  • Team implementation recommendations (architect, data engineer, project manager, report writer, etc.)
  • Phase 1 Azure Analytics implementation recommendations & estimates (hardware/software costs, implementation hours, etc.)
  • Reporting plan (software, initial priority reports, users, licensing, etc.)
  • Methodology & process recommendations (Kimball modeling, security, version control, dev/prod environments, etc.)


Resultant Artifacts
  • Business & Technical Requirements Document (BRD)
  • Initial Risk Log
  • Azure Data Flow Diagrams (Current State, Overall Future, & Phase 1)
  • Bus matrix (Facts/Dims for Phase 1)
  • Source prioritization vs complexity matrix (Overall)
  • Maturity Model Placement
  • Initial Data Warehouse ERD outline (high-level)
  • Phase 1 scope & estimations
  • Team role recommendations
  • Software stack recommendations
  • PowerPoint consolidation/presentation (Deliverables above + Business interview results: Pain points, Project Timelines, Design Standards, & other client-specific useful details)

The end result is a plan from Azure experts on how to use Azure in a best-practice way to make your business data-driven whether you are just getting started with Azure & Analytics or extending what you already have.

https://www.eidebailly.com/data

*Onsite visits determined case-by-case

لمحة سريعة

https://catalogartifact.azureedge.net/publicartifacts/eidebaillyllp.analytics_a_and_d_deep-327e0f54-206a-4f9b-b590-98eea551b54d/image5_MaturityModelv2.png
https://catalogartifact.azureedge.net/publicartifacts/eidebaillyllp.analytics_a_and_d_deep-327e0f54-206a-4f9b-b590-98eea551b54d/image7_DataFlowExample.png
https://catalogartifact.azureedge.net/publicartifacts/eidebaillyllp.analytics_a_and_d_deep-327e0f54-206a-4f9b-b590-98eea551b54d/image2_CommonDataPains.png
https://catalogartifact.azureedge.net/publicartifacts/eidebaillyllp.analytics_a_and_d_deep-327e0f54-206a-4f9b-b590-98eea551b54d/image6_PeopleProcessTechnology.png
العربية (الإمارات العربية المتحدة)
أيقونة إلغاء الاشتراك في اختيارات خصوصيتك خيارات خصوصيتك
خصوصية صحة المستهلك خريطة الموقع اتصل بنا الخصوصية وملفات تعريف الارتباط شروط الاستخدام حول إعلاناتنا إدارة ملفات تعريف الارتباط