Explore ways data teams use Monda

Companies need to build reliable data delivery pipelines to ensure the uninterrupted flow of data from A to B.

⚡️ Pain:

Building data delivery pipelines from scratch takes a lot of effort and often results in brittle and unscalable workarounds.

✅ Solution:

Monda enables companies to build and monitor robust, flexible data delivery pipelines which scale with your delivery volume whilst slashing egress costs.

Data consumers need external datasets to be instantly usable for analytics, machine learning, and downstream systems.

⚡️ Pain:

External data often arrives in inconsistent formats, requires heavy wrangling, and lacks alignment with internal schemas, slowing time-to-value when it comes to AI development.

✅ Solution:

Monda lets you deliver ready-to-query, AI-ready data products directly into the consumer’s preferred environment (e.g. Snowflake, Databricks, BigQuery) using standardized schemas and APIs - no transformation or ETL required.

Many data providers need a branded, customer-facing interface where their data product catalog is displayed in rich detail whilst still being access-controlled.

⚡️ Pain:

Building a branded data product frontend to serve external consumers is expensive and outside the core domain of data teams.

✅ Solution:

Monda offers data providers a fully white‑labeled data portal where customers can explore, connect, and monitor their own data feeds, under your brand.

AI models require external and proprietary data for training, context, or fine-tuning.

⚡️ Pain:

It's a lot of effort to make data products AI-ready: vectorizing, labelling, annotating, governing, making accessible via RAG or MCP.

✅ Solution:

Monda allows you to share, access, and ingest AI-ready data products easily which are immediately usable for your AI use cases.

Modern businesses often work across multiple cloud providers and regions.

⚡️ Pain:

Maintaining separate data delivery pipelines for each environment increases engineering overhead and fragility.

✅ Solution:

Monda supports data product sharing across multiple clouds and platforms, including GCP, Azure, Snowflake, Databricks, and handles multi‑region needs centrally.

Data providers face high infrastructure and egress costs when duplicating data across clouds.

⚡️ Pain:

Traditional pipelines replicate data, causing storage, networking expenses and complexity. Enterprise data sharing solutions are expensive and only available if you pay for a large, up-front contract.

✅ Solution:

Monda uses a zero‑copy architecture (secure cloud‑native protocols) to share data cost‑effectively, with no replication, which reduces egress costs - all on a pay-as-you-go basis.

Sales and Customer Success teams need autonomy to configure and deliver AI-ready data products to customers.

⚡️ Pain:

Non‑technical GTM teams depend on data engineering every time a customer requires customization.

✅ Solution:

Monda provides a no-code UI enabling GTM teams to configure, provision, and deliver data instantly, freeing up engineering time and speeding up prospect and/or customer time-to-value.

To manage pricing and retention, providers need visibility into how customers are using their data products.

⚡️ Pain:

Lacking usage tracking, it’s difficult to understand user behavior, optimize data product pricing, or gauge ROI.

✅ Solution:

Monda tracks individual consumer usage, data product access patterns, and pipeline health, helping data providers base decisions on live audience telemetry data.

Data buyers consume data across diverse environments (e.g. AWS, Snowflake, APIs, SFTP) so data providers need to flexibly support as many different ones as possible.

⚡️ Pain:

Every integration is bespoke: engineers manage access controls, egress logistics, credentialing, and formats.

✅ Solution:

Monda offers seamless delivery to any customer destination (Snowflake Share, Databricks, AWS, GCP, API, SFTP) in a no‑code flow.

Prospective customers often need tailored dataset samples before committing to purchase a data product.

⚡️ Pain:

Generating custom datasets typically requires data engineering support which can be slow and labor-intensive.

✅ Solution:

Monda enables creating filtered, role‑based trial datasets on demand (e.g. by geography, ticker, columns) via UI, empowering non‑technical users to create custom samples and expedite the sales process.

To generate inbound demand, data providers need to publish their data product catalog in channels where it will attract leads.

⚡️ Pain:

However, making your data catalog public brings concerns about security and compliance, as well as requiring engineering resources.

✅ Solution:

Monda enables you to publish your entire data product catalog on top data marketplaces with no code, with PII redacted automatically.

Data providers need to manage deals and orders they receive meticulously to grow their businesses healthily.

⚡️ Pain:

However, when orders come in from disparate data marketplaces, it’s difficult to manage deals centrally and sales teams end up in siloes.

✅ Solution:

Monda brings every deal from across data marketplaces into one Data CRM so you have cross-team visibility of all incoming demand.

Data providers need to showcase their offering in all its formats and variants, then publish these products across data marketplaces.

⚡️ Pain:

However, creating an extensive catalog of data products demands lots of product, design and engineering resources.

✅ Solution:

Monda makes it easy for you to create and publish data products that market your offering with no engineering input required.

Data sharing is the final crucial step in any data provider’s sales cycle.

⚡️ Pain:

However, sharing data with end-users gets time-consuming and expensive when they’re not on the same cloud platform as you.

✅ Solution:

Monda lets you share data with customers cross-cloud platforms so you can sell data quickly and deliver it securely.

Generating demand for your data is crucial to growing your data business in an increasingly crowded market.

⚡️ Pain:

However, building a demand generation engine requires lots of time and resources from your marketing and sales teams.

✅ Solution:

Monda empowers you to start generating inbound demand in 60 seconds with a search engine, conversion-optimized data storefront.

Data providers win trust from buyers by sharing samples with them to test before making a purchase decision.

⚡️ Pain:

However, managing all these samples - sometimes made custom - brings overhead, especially when it comes to controlling access.

✅ Solution:

Monda allows you store all sample files centrally, attach sample previews to products, and see who’s viewing them in one place.

The first step towards growing a data business is publishing your data products on your website.

⚡️ Pain:

However, displaying your proprietary data in a way that’s conversion and UX-optimized demands engineering and web design resources.

✅ Solution:

Monda lets monetize your proprietary data via your Data Storefront which you can launch in 60 seconds with no code.

Keeping your data products up-to-date is essential to running a healthy data business and winning returning customers.

⚡️ Pain:

However, when your data products are scattered across different marketplaces, updating them is chaotic and time-consuming.

✅ Solution:

Manage your data products centrally with one catalog stored in Monda, updated automatically across data marketplaces.

Data providers need to know where there’s demand for their offering to uncover new opportunities and win more business.

⚡️ Pain:

However, it’s hard to access insights into data buyer trends.

✅ Solution:

Monda provides real-time updates into popular data categories, your competition, and data marketplace performance, all in one UI.

Commercial data providers are meeting increasing demand for analytics in the AI-focussed, data-driven economy.

⚡️ Pain:

However, scaling a data business is not as simple as scaling an ecommerce business due to market fragmentation.

✅ Solution:

Monda makes data commerce easy by bringing sales teams onto one Data CRM for central deal management across marketplaces.

Packaging data into standardized products helps data providers market their offering, convert more buyers, and accelerate sales.

⚡️ Pain:

However, creating rich, privacy-compliant data products is a huge undertaking for web designers.

✅ Solution:

Monda makes data productization easy for non-technical users. List products with metadata in minutes in one simple flow.

Data providers have to be on data marketplaces to win visibility across industries and geographies.

⚡️ Pain:

However, integrating with data marketplaces is an unclear process that can takes months from your engineering and legal teams.

✅ Solution:

Monda takes care of the heavy lifting with 1-click data marketplace integrations.