Power BI Support


Lingaro aims to build and maintain resilient and cost-effective IT services with Lingaro Operations in Power BI.

The following are the most common pain points that Lingaro Power BI Support aims to address:

  • The lack of clarity into the purpose, impact, and context of implementing a data and analytics project leads to a patchwork solution that doesn’t satisfy a need, solve a problem, or achieve an objective.
  • Design and development can suffer from tunnel vision where the solution creates interesting or eye-catching visuals but are not necessarily useful, meaningful, or functional for the end users.
  • Power BI reports that don’t adopt and apply industry UI/UX principles not only discourages user adoption but also limits actionable insights that can be derived from the reports.
  • Complexity of a data and analytics solution exacerbated by disparate, multiple data sources that significantly affects data quality without proper validation and governance processes
  • Power BI solutions that are not regularly maintained and supported suffer from performance issues.
  • Solutions maintained by dispersed teams could lead to inconsistencies in support rules and guidelines as well as service-level agreements (SLAs) across the organization.
  • Power BI dashboards used in each department might need to be supported by multiple people, which could not only accrue additional costs but also involve unnecessary repetition of effort or resources.
  • Lack of consolidation and integration leads to silos, where lessons learned and best practices might not be easily shared to others.


  • Power BI DevOps Service

  • End-to-end development and enrichment of new and existing Power BI dashboards streamlined through DevOps best practices

  • Zero cost for migrating to and onboarding Power BI implementations by Lingaro

  • DevOps Implementation

  • Day-to-day ticket management, including incidents, fulfillment requests, routine changes, and problem management

  • Analysis of data quality/report issues and data propagation from source to Power BI, which involves collaborating with data source teams and other vendors until incidents are resolved

  • Documentations for known issues, fixes, and workarounds, and business-as-usual job aids and worksheets

  • End-user training and onboarding for new reports

  • Assessments of improvements and changes in current reports depending on business priority

  • Consumable change hours per month, which can be used for implementing improvements and new features

  • Service Transition Consulting

  • Service Level Management/DevOps Management

  • End-to-end SLA management through the Lingaro DevOps Team (i.e., accountable and first layer of escalation)

  • Management and ownership of customer expectations and IT service management (ITSM) processes

  • Ownership, alignment, and cocreation of processes with clients, including soliciting for feedback and adjusting processes (if applicable and based on size of the service):

  • Service design and delivery expectations

  • SLAs and operational-level agreements (OLAs)

  • Quality of service targets, KPIs, operational scorecards

  • Incident, request, problem, and change management

  • Communication templates

  • Escalation processes

  • Regular reporting/service reviews meetings with customers

  • Responsibility assignment (RACI) matrix defined within the team

  • Setup of operational/communication tools and knowledge base

FREE CURRENT STATE ASSESSMENT: o Looking into the current BI ecosystem and current reports. o Identifying top areas for improvement. o Discovering pain points and recommending high-level solutions based on industry best practices. o Analyzing the maturity of Power BI dashboard.

At a glance