---
title: Data Mesh Assessment
description: The goal of the assessment is to assist businesses in identifying strengths and weaknesses that will impact their Data Mesh strategy
---

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  Describe the state faced as a Major business- level challenge by your organization?
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  How many products does your company have?
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  Select the platform data fabrication rate.
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  How many flavors of data sources does your company have?
- ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg)
  
  Select the manner of insights that need to be generated by your platform
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  Select Current Infrastructure Management.
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  What is the form of a data team in your organization?
- ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg)
  
  What kind of functional teams rely on your data sources to drive decision-making?
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  Standard Data Serving Practices
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  Select Current Metadata Management Process
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  How are Data Governance Policies Placed and maintained within the platform?
- ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg)
  
  Which compliances your Data Analytics Platform is compliant to?
- ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg)
  
  Select Current Data Lineage Process
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  Does the company state resemble an ‘efficient data mesh’ presently?
- ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg)
  
  How much of the technological landscape will transition to the mesh over what timescale and in which order?

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1/15

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# Data Mesh Assessment

Describe the state faced as a Major business-level challenge by your organization?

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While adding new features for an existing product or while planning a new product

While onboarding customers or data floods/spikes.

Both

How many products does your company have?

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1-5

5-10

10-15

More than 15

Select the platform data fabrication rate.

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0-10%

10-25%

25-50%

50-75%

100%

How many flavors of data sources does your company have?

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IoT sensors

Object or File Storages

Relational Databases

Geographical Data

TimeSeries Store

Other

Use only alphabets.

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Select the manner of insights that need to be generated by your platform

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Real-Time

Near-real-time

Reports

Select Current Infrastructure Management.

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 Manual Deployment of Data Analytics Services on Shared Resources like VMs.

Automated Deployment using CI/CD Pipelines on Shared Resources.

Automated Deployment using CI/CD Pipelines on Dedicated Resources like Containers.

Dedicated InfraStructure Resources for Different Domain WorkFlows.

What is the form of a data team in your organization?

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 Fully Centralized

Reporting Decentralized

Analytical Engineering + Reporting Decentralized

Everything Decentralized (Neural)

What kind of functional teams rely on your data sources to drive decision-making?

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Engineering & Technology

Sales,Service & Support

Marketing & Communications

Design

Business Strategy

Finance

Legal

People

Facilities

Standard Data Serving Practices

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Direct Access to Databases, Data Lake, and Warehouse

Via SDK or Query Clients

Via APIs

Select Current Metadata Management Process

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Default Metadata Stores for Databases, Data Lakes, Warehouses, etc

Centralized Metadata Management using Data Catalog Services

Centralized Metadata Management and also Domain-Specific Catalog Services as well

How are Data Governance Policies Placed and maintained within the platform?

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Centralized Management of Governance Policies

De-Centralized Management of Governance Policies attached to specific data stores

De-Centralized Management of Governance Policies detached from data stores

No management of Governance Policies

Select Current Data Governance Process

No Data Governance Policies Setup Yet

Data Governance Process is established by Defined Roles and providing Access as per Requirement

Data Masking Policies Applied for protecting PII Data

Row Level and Column Level Data Access Restriction

Which compliances your Data Analytics Platform is compliant to?

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Use only alphabets.

![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg)

Select Current Data Lineage Process

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No Data Lineage Processes Yet

Enabled on Data and Analytical WorkFlows

Enabled on Data Access via Querying Logs

Does the company state resemble an ‘efficient data mesh’ presently?

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Yes

No

How much of the technological landscape will transition to the mesh over what timescale and in which order?

![Tooltip Icon](https://www.xenonstack.com/hubfs/tooltip-icon.png) Know more

Use only alphabets.

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Some required questions are incomplete

You must complete all questions before submitting. Un-attempted questions have \* symbol.

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Fill in Details

First Name

Last Name

Email ID

Company

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Submit

We appreciate you for taking DataOps Principles Questionnaire

100 / 100

 Your score is 100 / 100. Your organization is perfect Towards data scalability and protection.

Our data expert started analyzing your response and get back to you with detailed insight and solutions.

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