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UnivDatos

Since 2013, UnivDatos has been a trusted provider of market intelligence and procurement management services, supporting organizations with data-driven insights and strategic solutions.

contact@univdatos.com+1 978 733 0253
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Headquarters

C-80B, Sector 8, Noida, Uttar Pradesh- 201301, India

Branch office- I

2nd Floor, Hydel Gate, Teri Puliya, Kathgodam Road, Haldwani, Uttarakhand- 263139, India

Branch office- II

43/2, 1st floor, Jones Street Mannady, opposite to Manmadi Metro station, Chennai, Tamil Nadu- 600001, India

Office locations (Upcoming)

Netherlands, United Arab Emirates

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Managed Analytics Services

Keep reporting, data pipelines, dashboards, and analytics operations running smoothly

Our managed analytics services provide ongoing support across recurring reporting, dashboard maintenance, refresh cycles, data pipeline operations, data quality checks, enhancement requests, and day to day analytics support. We act as an extension of your team to help keep analytics environments reliable, current, and aligned to changing business needs.

Core capabilitiesRelated insightsFAQs
Home>Services>Data Analytics Services>Managed Analytics Services
Why it matters

Analytics value drops when no one owns the ongoing operations

Many organizations invest in dashboards, reports, data pipelines, and analytics solutions, but struggle to keep them running consistently after launch. Refresh failures, recurring manual work, source-data issues, growing enhancement backlogs, and changing business requirements can quickly reduce the value of the analytics environment.

Our managed analytics services help solve that problem through ongoing support for reporting operations, dashboard upkeep, pipeline monitoring, data quality controls, issue resolution, and continuous improvement. The goal is not just to maintain analytics assets, but to keep the full environment reliable, trusted, and useful as the business evolves.

Core capabilities

What our managed analytics services include

A managed support layer across reporting, dashboards, data pipelines, data quality, and analytics operations that helps keep your analytics environment reliable and useful over time.

Managed Reporting & BI Support

We support recurring business reporting, dashboards, KPI tracking, and reporting operations so stakeholders continue to receive timely, reliable, and decision-ready outputs.

  • Recurring report production and delivery
  • Dashboard upkeep and usability support
  • Scheduled reporting operations
  • KPI and reporting consistency support

Managed Data Engineering Operations

We monitor and support pipelines, source integrations, scheduled data flows, and data freshness so downstream analytics do not fail silently or degrade over time.

  • Pipeline monitoring and operational follow-up
  • Source integration issue support
  • Data freshness and load checks
  • Incident response for upstream data issues

Managed Data Quality & Governance Support

We support ongoing validation, reconciliation, exception handling, taxonomy or master-data upkeep, and quality controls that improve trust in analytics outputs.

  • Validation and reconciliation checks
  • Exception identification and issue tracking
  • Taxonomy and master-data upkeep support
  • Ongoing data quality monitoring

Managed Advanced Analytics Support

Where advanced analytics is already in place, we support forecast refreshes, model-output upkeep, segmentation updates, and evolving analytical requirements.

  • Forecast and model output refresh support
  • Segmentation and rule update support
  • Analytical enhancement requests
  • Ongoing support for business-facing advanced analytics outputs
Support model

Extend your analytics team without rebuilding internal capacity

Managed analytics works best when support is flexible enough to match reporting demand, business priorities, and the maturity of the analytics environment. We can support steady-state reporting operations, recurring dashboard needs, pipeline and data quality upkeep, or evolving enhancement backlogs without requiring you to build a large in-house support layer.

This can work well for organizations that need managed data analytics services, managed BI services, or broader data management and analytics services on an ongoing basis, while keeping internal teams focused on higher-value analysis, business partnering, and transformation priorities.

Key Model Pillars
  • Extension of internal analytics, BI, and data teams
  • Flexible support for recurring and ad hoc requests
  • Scalable coverage across reporting, pipelines, and quality controls
  • Business-facing support aligned to changing priorities
COMMON CHALLENGES

Challenges we commonly solve

Maintaining analytics environments post-launch comes with ongoing operational, freshness, and data trust challenges.

Reporting cycles are repetitive and time-consuming
Dashboards lose reliability after the initial launch
Upstream pipeline issues disrupt downstream reporting
Data quality problems keep resurfacing across recurring reports
Business users need changes faster than internal teams can deliver
There is no clear owner for ongoing analytics support
Outcome 01

More reliable reporting

Keep recurring reports and dashboards current, stable, and usable.

Outcome 02

Better analytics continuity

Maintain momentum after implementation instead of letting assets degrade over time.

Outcome 03

Less operational burden

Reduce the manual effort required to maintain reporting, refreshes, and support workflows.

Outcome 04

Stronger data trust

Improve confidence in analytics outputs by supporting upstream data quality and pipeline health.

Business outcomes

What better managed analytics support delivers

Managed analytics should reduce operational friction, improve reliability, and keep analytics assets useful over time. The value comes from making reporting, data operations, and analytics environments more dependable while freeing internal teams to focus on deeper analysis and strategic work.

Use cases

Where managed analytics services create value

Managed analytics services can support multiple functions depending on reporting cadence, dashboard complexity, pipeline dependencies, and ongoing business demand.

Management Reporting & BI Operations

  • Recurring leadership reporting
  • Dashboard upkeep
  • KPI tracking
  • Business review packs

Sales & Commercial Reporting

  • Pipeline reporting
  • Revenue dashboards
  • Performance views
  • Customer analytics support

Operations & Supply Chain Reporting

  • Operational dashboards
  • Refresh monitoring
  • Recurring exception reporting
  • Source-to-report support

Finance & Business Reporting

  • Periodic finance reporting
  • Variance views
  • Dashboard upkeep
  • Scheduled reporting support

Procurement & Spend Reporting

  • Supplier views
  • Spend dashboards
  • Recurring reporting packs
  • Managed analytics support for sourcing and procurement teams

Multi-Team Analytics Environments

  • Ongoing support across reports
  • Pipelines
  • Validations
  • Enhancement needs for organizations with growing analytics complexity
Technology alignment

Platforms and tools we commonly work with

Our managed analytics services are tool-flexible and can align to your reporting stack, BI environment, pipeline layer, and ongoing support needs.

Built to fit your stack

We can support reporting, dashboards, cloud analytics environments, data pipelines, and ongoing analytics operations without forcing a rip-and-replace approach.

BI & Data Visualization

Power BITableauLookerAWS QuickSight

Reporting & Query Support

SQLExcelPower Query

Data Engineering & Pipeline Environment

Microsoft FabricAzure Data FactoryDatabricksorchestration workflows

Common Source Systems

ERPCRMspreadsheetsdatabasesAPIsthird-party feeds
Related insights

Explore related managed analytics insights

Learn more about recurring reporting support, managed BI, data operations support, and ongoing analytics maintenance.

Why analytics environments lose value after implementation

Why analytics environments lose value after implementation

Explore why reporting and analytics assets need structured post-launch support to remain reliable and useful.

Read More
What managed BI services should actually cover

What managed BI services should actually cover

Understand the maintenance, refresh, enhancement, and support activities that matter most in managed BI.

Read More
How recurring reporting and data operations can be supported more efficiently

How recurring reporting and data operations can be supported more efficiently

See how managed analytics services reduce operational effort while improving continuity across reporting and analytics environments.

Read More
FAQ

Frequently asked questions

Common questions about managed analytics services, managed BI support, data operations support, and recurring reporting maintenance.

What are managed analytics services?+

Managed analytics services provide ongoing support for reporting, dashboards, analytics operations, data pipelines, and related maintenance activities after the initial analytics environment is in place.

How are managed analytics services different from analytics consulting or implementation?+

Analytics consulting and implementation are typically focused on designing, building, or improving analytics capabilities. Managed analytics services focus on ongoing support, maintenance, refresh monitoring, issue resolution, enhancement requests, and operational continuity.

Do managed analytics services only cover dashboards and reports?+

No. Managed analytics services can also support data pipeline operations, refresh reliability, validation checks, recurring data issues, and the broader operational tasks required to keep analytics environments dependable.

Can you support recurring reporting and refresh cycles?+

Yes. We can support scheduled reporting operations, recurring report delivery, refresh monitoring, issue resolution, and related analytics operations tasks.

Can you support data engineering and data quality as part of managed analytics?+

Yes. Where needed, managed analytics support can extend to pipeline monitoring, source-data checks, validation controls, issue tracking, and ongoing data quality support that protects downstream analytics outputs.

When do organizations usually need managed analytics support?+

Organizations often need managed analytics support when internal teams are stretched, reporting demand is recurring, pipeline or refresh issues are frequent, dashboard maintenance is difficult to sustain, or the analytics environment needs a more reliable ownership model.

Request a managed analytics assessment

If recurring reporting, dashboard upkeep, pipeline reliability, data quality support, or ongoing analytics demand is becoming difficult to manage internally, we can help identify the right managed analytics approach.

Tell us what reporting or analytics support challenges you are facing, and we will help define the right next step.