Transforming Business Through Analytics and Data Solutions
AWS cloud native data services may help you turn your data into insights with modern data solutions, by building data lakes, transitioning off commercial databases, and improving data flows between systems.
Our Data Transformation & Analytics Competencies
We help organizations migrate data lakes and warehouses to the cloud, modernize ETL and ELT pipelines, and turn raw data into analytics teams can act on daily.
Gain a 360° View of Data
Create reliable, high-quality data, eliminate data silos, and acquire a thorough understanding of each business area with AWS and Azure. AWS provides services like AWS Glue and Redshift, while Azure offers Azure Synapse Analytics and Data Factory to integrate and analyze data effectively.
Break Free from Legacy Database Licensing
Save money by switching to cost-effective and adaptable AWS and Azure database solutions with pay-as-you-go pricing structures. AWS offers managed databases like Amazon RDS and DynamoDB, while Azure provides SQL Database and Cosmos DB, helping you avoid the costs associated with traditional database licensing.
Accelerate Self-Service Analytics
Gain a competitive edge by accessing AWS and Azure’s reliable self-service analytics tools. AWS features services like Amazon QuickSight, and Azure provides Power BI, allowing businesses to execute complex data analysis and gain insights rapidly.
Monetize Your Data
Generate new revenue streams by augmenting existing data solutions with third-party sources, improving products and services with machine learning, and using real-time data. AWS offers tools like Amazon Kinesis for real-time data processing, while Azure provides Azure Machine Learning and Cognitive Services to enhance data utility and create new opportunities.
Real-Time Data & Streaming Analytics
Fast and instant analytical processing of your data allows you to make informed decisions quickly. We create reliable, scalable data collection and processing architectures, which will allow your company to gather and analyze real-time event data that resides in your cloud storage. By implementing this tech stack, companies are better able to monitor operations, identify problems, and confidently respond to evolving business opportunities and customer behavior.
Advanced Data Integration & Engineering
Our Cloud Security Solutions include compliance and security as their base point. Our expertise allows us to help today's companies safeguard their most important information, protect their employee's identities & assist them in managing their way through various regulations with confidence.
What We Do
We modernize data platforms by migrating legacy warehouses to cloud-native architectures, redesigning pipelines for reliability, and giving business teams direct access to trusted analytics.
Data Transformation Strategy
An effective organizational strategy is built on data insights. For this reason, a data transformation strategy that supports your objectives is essential to the growth and success of your company. In order to determine the best mix of cloud-native data services and global data solutions for your unique needs, our data engineering team will work with you to assess your current environment and business goals. We will collaborate with your team to create a Data Transformation roadmap that covers advanced analytics, data governance, data integration, and data infrastructure through a targeted engagement.
Database Migration & Optimization
Make the most of your AWS investment by using efficient, dependable, and optimized databases on AWS. Our team of professionals will collaborate with you to design and migrate your old databases to purpose-built, on-demand databases like Aurora, DynamoDB, and RDS. Our experience with both homogeneous and heterogeneous database migrations and data transformation ensures that your databases are successfully transferred to the target database and engine of your choosing.
Data Lakes & Big Data Pipelines
Through efficient data transformation, you can enable self-service, real-time analytics, and data-driven decision making with AWS-based operational analytics and business intelligence tools. By utilizing proven cloud data solutions and analytics tools like Quicksight, Redshift, Glue DataBrew, SageMaker Data Wrangler, and Athena, all of which are made to simplify data transformation, we can assist you in gaining insights into how your company is operating, what trends are emerging, and where risks might be concealed.
Operational Analytics & Business Intelligence
If your company must adhere to a cloud security and compliance standard, such as PCI or HIPAA, you'll want a partner who understands the actions required to achieve those standards.
DataOps
Be data-driven and consistent by enabling the continuous supply of data products to business units via DataOps. KPThink can help you clean up your whole data pipeline, from data ingestion to data transformation, storage, and distribution. Our data analytics solutions enable rapid data transformation and launch of data products that meet the Service Level Agreements (SLAs) established by data consumers. We'll optimize your data operations, save costs, and lessen the risk of data breaches while also providing insights to your staff through efficient data transformation.
Data Governance
Data-centric organizations have a strategy and invest in data well-being. More importantly, they have the necessary resources to adopt automated data governance. KPThink's Governed Data Platform accelerates data accuracy, consistency, and security in weeks rather than months or years. We'll collaborate with you to set data quality standards and implement data cataloging, resulting in better data organization and safe access. This will provide you more visibility into your data and help verify that it is used correctly. Our products can also help you comply with requirements such as GDPR, HIPAA, and PCI DSS.
Benefits of Data Modernization
Unified data pipelines, governed platforms, and analytics on current data, not last month's exports from an overloaded warehouse.
Greater Agility in a Changing Market
Organizational Transformation will allow the organization to pivot in a faster manner to respond to changes in the market, as well as the expectations of customers and new opportunities in the market.
Improved Customer Experience
Modern processes and digital tools improve and personalize the customer experience across every touchpoint.
Higher Operational Efficiency
Simplifyd process workflow and automation will reduce the level of manual effort required for performing operations while also associated costs.
Data-Driven Decision Making
With the transformation of an organization, leaders will be able to use their data and insights from data to make more confident, educated decisions.
Enhanced Collaboration Across Teams
New modern technologies will eliminate silos, which will provide opportunities for teams to collaborate from anywhere and work together more efficiently.
Sustainable Long-Term Growth
After going through transformation, an organization will be more resilient, more adaptable, and better positioned to expand and compete.
How We Achieve Results
We assess your current data estate first, then redesign pipelines and migrate workloads to the platform that fits your data, whether that's Azure Synapse, Redshift, or Databricks. Every engagement ends with governance and monitoring in place, not just a migrated dataset.
End-to-End Data Maturity Strategy & Roadmap
We work with you from strategy through execution, wherever you are on the data maturity curve. Early on, that might mean database optimization or better operational reporting. Further along, we help you move from transactional-only systems to self-service analytics, machine learning, and governed data platforms, with a roadmap matched to your actual data maturity, not a generic template.
Data Maturity Assessment and Transformation Roadmap
Before recommending a roadmap, we assess where your data practices actually stand today: tooling, governance, team skills, and reporting maturity. That assessment becomes the basis for a transformation plan sequenced around what will move the needle first, not a one-size-fits-all migration.
Data Governance, Trust, and Secure Data Operations
Data that is not reliable is just as dangerous as data that falls into the hands of a perpetrator. KPThink assists organizations in maximizing the value of their data assets by developing solutions that enable data trust and security. Data governance and data operations are critical strategies for the success of data-driven enterprises. KPThink's Data Governance and DataOps products enable organizations to build a complete data management strategy, generate relevant insights from their data, and drive business success.
Accelerated AWS Data & Analytics Solutions with Catalysts
Our pre-built AWS solutions, such as KPThink's Governed Data Platform and KPThink Catalysts, can help you launch data and analytics initiatives quickly and with low effort. The fact that these solutions are pre-built does not exclude their customization. KPThink can evaluate your present data landscape in light of your organization's strategy, provide a roadmap, and deploy the best-fit solution using our Catalysts. Catalysts help enterprises implement AWS solutions more quickly, drawing on KPThink's experience delivering solutions for customers across industries.
Learn from our customers
Discover how organizations across industries have transformed their operations and achieved remarkable results with our solutions.
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Discover MoreWhy Choose Us?
The advantages that set our team apart: security-first delivery, cloud expertise, and support that scales with your business.
Frequently Asked Questions
How much does data platform modernization cost with KPThink?
Data modernization costs vary based on the size of your data estate, the number of source systems, and which target platform you choose. Visit our pricing page for guidance, and we'll provide a firm quote after scoping your specific data assessment and migration needs.
How long does a data platform modernization take?
Industry-typical data platform modernization runs 8 to 16 weeks from initial assessment to a fully migrated and validated platform, depending on data volume, pipeline complexity, and the number of source systems involved. Larger environments or projects with strict compliance requirements can take longer.
What does KPThink's data modernization process look like?
We start with a data maturity assessment that reviews your current tooling, pipelines, and governance practices. From there, we design the target architecture, migrate data lakes, warehouses, and pipelines in staged phases, and validate every dataset before cutover. Governance and monitoring get built in from day one, not added afterward.
What do we need to have ready before starting a data modernization project?
You'll need access to your current data sources and warehouses, plus a named stakeholder who can make decisions on architecture and priorities. It also helps to have clarity on compliance, retention, and data residency requirements upfront, since these shape platform choices and migration sequencing.
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