Custom Cloud Services Partner

At InData Labs, we build bespoke cloud service solutions tailored to your business needs.

Let our cloud services avail your company by solving data and analytics challenges with on-demand scalability, unmatched security, and improved data accessibility.

Trusted by Innovative Companies

Our Cloud Expertise

As a certified cloud development partner, InData Labs performs a wide range of cloud-based services across AWS and Azure cloud ecosystems and embeds BI tools to bring your data to life.

Need help with secure on-prem to cloud infrastructure migration?

InData Labs consultants will create a consistent cloud data migration roadmap to ensure smooth and safe transition to the cloud.

Data Migration Consulting Services

How can we help your company?

A certified cloud development partner, InData Labs supports companies at each stage of their digital transformation journey.

1. Advisory
Strategize your adoption, migration, or infrastructure optimization. Reduce operational risks, employ the best-fit migration strategy, and elevate your distributed architecture. We balance technology, risks, and costs to let you capture the full cloud potential.
2. Infrastructure Migration
Move your workloads off-premises to optimize costs of data processing and access innovation agility with our migration IT clouds services. Let us help you securely migrate to a new infrastructure with the least disruption and minimized risks.
3. Managed Services
Shuffle off the burden of managing your cloud assets. Hand over data governance, automate yourself out of performance monitoring, and transfer your configuration management to our skilled team of cloud developers.
4. Cloud Software Development
Scale your business with custom elastic solutions that grow in line with your needs. Tap into our deep cloud development expertise and domain proficiency to deploy complex public, private, or hybrid distributed infrastructures with ease.

Industries

Our data and analytics solutions cater to myriads of industries and verticals, ensuring the right combination of technology excellence and domain knowledge.

E-commerce

Marketing & Advertising

Supply Chain & Logistics

Financial Services

Healthcare & Pharma

Manufacturing

Why Choose Us

Our dedicated teams will help your company seamlessly migrate its databases to the cloud — or break the mold with a new, robust analytics solution that solves your toughest business problems.

Years of Experience
Since 2014, we’ve been assisting companies across industries in adopting cloud services, analytics suites, and business intelligence solutions - to pivot, grow, and adapt.
Latest Technology
We put innovation at the core of our projects to let you benefit from cutting-edge technologies, future-proof your digital assets, and gain a competitive advantage.
Certified Cloud Partner
The skills and proficiency of our team are validated by AWS certification and partnerships with leading providers to help you embrace the full potential of cloud architectures.

Technologies and Architecture Patterns We Work With

As a cloud partner, we excel at using the right combination of tools, modules, and integrations to deliver a high-performing architecture.

Certificates

InData Labs is a certified AWS Partner. We have certifications that qualify our skills, knowledge and expertise.

Let Our Clients Do the Talking

Customer Success

AWS Customer Analytics for FMCG

The client needed a bespoke text mining solution to glean insights from email and voice data. The main challenge of the project was a vast amount of unstructured data from multiple customer touch points.

InData Labs designed and built a custom data analysis pipeline based on the AWS architecture. The solution spans the process of text mining, data analysis and visualization to effectively track customer sentiment.

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BI Solution for Unification Construction Projects Analysis

BI & Unified Analytics For Construction Projects

A data center management company needed a real-time unified analytics solution to gather, process, and visualize construction data from multiple sites.

We helped solve our client’s challenges by delivering a custom suite for real-time analysis and intelligent reporting. Our team also transformed data silos into an all-in-one data lake serverless architecture for fast data gathering and real-time processing.

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Data Analysis & Modeling For Finance

Our team was hired to improve the efficiency of the debt collection process and deliver an ML model to predict the likelihood of payment.

We took over the entire process of model development – from data cleansing and analysis to model deployment. The predictive model has a high prediction rate and accurately identifies the probability of promise to pay from an account.

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Azure Data Lake and IoT Hub Development

A food service company was looking to migrate from outdated infrastructure to add IoT sensor real-time processing and customer behavior analytics into the digital supply chain.

Our cloud engineers performed a full-scale migration of sensor input to the Azure data lake and set up an analytics infrastructure to generate customer insights. A real-time dashboard was introduced to improve reporting and visualization.

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Delivering Data Intelligence for Chemical Industry

Business Intelligence for Chemical Industry

A chemical manufacturer required BI and data expertise to find a more efficient way to analyze the chemical composition of mixtures and test results.

InData Labs built a custom analytical solution for real-time product analytics built on Azure. We also performed data transformation to reduce computing power and turnaround time for analysis.

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FAQ

These are infrastructures, platforms, or software hosted by external providers and made available to users through the internet. Leading providers such as AWS and Microsoft Azure offer a range of cloud making services, including compute, analytics, storage, and others.
Companies can select a unique combination of resources to accommodate their unique needs, build a distributed database, analyze vast amounts of information, and more. Also, cloud service offerings enable companies to store, share, and process data without spending resources on in-house servers.
Amazon Web Service (AWS), Microsoft Azure, and Google Cloud Platform are among the leading market players that provide services in the cloud. InData Labs holds deep expertise in these cloud ecosystems proven by certifications and hands-on experience.
AWS is one of the most popular cloud service examples on the market, and for good reason. It offers a wide range of services and features, and it’s compatible with a variety of platforms. AWS also has an immense collection of tools, each designed to amplify the data processing capabilities of a distributed infrastructure.
Azure is also a popular choice, especially for businesses that use Microsoft products. And Google platform is a good option for businesses that want to use Google products or services.
So, which cloud service is best for your business? The answer depends on your specific needs and requirements.
We rely on the following criteria to identify the best cloud service business for your company:
- Your current architecture
- Cost of Ownership
- Data security and compliance
- Tools and features
- Business compatibility.
As the amount and complexity of Big data development grows, companies struggle to put all insights to good use. The cloud services enable convenient, on-demand network access to a shared pool of configurable computing resources. This translates into faster data processing, elastic infrastructure, and all-in-one analytics. Organizations opt for services in the cloud to save on costs, increase efficiency and improve the security and compliance.
Other benefits of this distributed ecosystem:
- Reduced costs
- Easier maintenance & updates
- Increased flexibility
- Better accessibility
- Easier storage and backup
- Uptime and availability guarantees
Big data processing and analytics are the keys to unlocking the value of cloud services. When we set up a distributed infrastructure, we connect all data into one, coherent body for easier processing and analysis. This configuration typically offers automation tools for resource management, backup, scaling, and other governance options for hassle-free data management.
Data processing takes place within the distributed infrastructure with further analysis and visualization – all within one architecture. This way, you eliminate data silos and aggregate all data in one place. It also provides a lot of processing power and storage capacity, which can be used for data analysis and machine learning.