Data Services

Data
Strategy

Chart the data-driven future of your enterprise

Empower Your Business with a Tailored, Flexible,
and Scalable Data Strategy

The Challenge

Tomorrow’s enterprises need future-ready data architecture—today.

Building a data platform that supports both current and future business needs is a complex challenge—one that involves making tough, strategic decisions. When made in isolation, these decisions often result in theoretical data strategies that lack real-world impact or practical execution.

To create an effective, actionable data strategy, organizations must consider several key factors, including:

Assessment, benchmarking & understanding of existing data landscape
Aligning business requirements with data use cases
Ensuring availability of the right skillsets
Technology blueprints
Program schedules with key milestones

What we do

WE BUILD A ROBUST
DATA FOUNDATION FOR
YOUR BUSINESS

Rappino takes a holistic approach to enterprise data strategy—establishing standardized methods, practices, and processes that ensure data is reusable, shareable, accessible, accurate, and portable. Our repeatable frameworks create a strong foundation for scalable, insight-driven, and future-ready businesses.

Our Offerings

End-to-end
Data Strategy

Data Assessment & Identification

Identify data to understand its complexity and downstream effects.

Assess data weakness and opportunities, then prioritize next steps for critical business needs.

Evaluate data in terms of coverage using explicitly stated rules for data inclusion, completeness, consistency, and accuracy.

Data Modeling & Consultation

Provide intelligent contextual, conceptual, logical, and physical modeling architectures that adhere to data governance and provide analysts with the desired data to generate valuable insights.

Architecture & Design Frameworks / Blueprints

Create structure and templates, storage and API-driven reference architectures that can be used by cloud applications, business partners, internal and external business functions, to resolve analytical, business, data management, performance, storage, and data life cycle issues.

Provide frameworks for diverse domains like Health, BFSI, Telecom, and Life Sciences to support a multitude of analytical tasks and decision making needs.

Compliance & Regulatory Services

Expertise in providing data insights and intelligence on stewardship, compliance and regulatory drivers for client consideration and decision making.

Roadmap Services

Establish a visual representation of roadmap, covering organizational vision with yearly goals.

Align organization’s metadata, master data, modernization, and data integration across each data management discipline so each complements the other to address specific project and organizational needs.

Data Provisioning

Prepare and package data so that it can be reused and shared in an orderly and secure way, based on well-defined rules and access guidelines.

THE OUTCOMES WE DELIVER

Next-Gen Data Platforms Powered by Actionable Strategies

Rappino’s Data Strategy services drive measurable
business value by enabling:

Accelerated blueprinting

With proven accelerators, frameworks and services without compromising quality

Business Outcome-Aligned Data Strategies

Encompassing contextual, conceptual, logical, and physical modeling architectures that deliver valuable insights while adhering to data governance.

Enhanced Data Reusability

With targeted data provisioning strategies

Our methodology

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how we do it

Our approach

Rappino uses a consultative approach that combines data engineering, cloud, data privacy, and compliance skills with proprietary frameworks and maturity models to construct a modern data ecosystem. In addition, our flexible resourcing model allows for the rapid scaling of teams through a pod or virtual pod-based approach.

We also leverage pre-engineered accelerators and digital assets across all
of our Data Services to accelerate the data transformation journey. These include:

M4 Data Strategy Roadmap

A proprietary execution framework for analytics engagements. M4 provides a proven strategy
and predictable steps for data modernization. It helps map use cases to modernize
architecture and migrate to the cloud while giving all stakeholders a clear view of expectations.

map

Map business OKRs and IT goals to build a comprehensive view of strategic intent for the program

Map current state challenges with strategic goals to showcase critical milestones (Quarterly view)

Map milestones (Quarterly) with specific data assets, data products and capabilities delivered

modernize

Modernize hosting platform, foundation, data products like DQ engine, catalog, lineage, discovery, virtualization, etc.

Modernize data architecture and deliver data models for optimized semantic layer, integrated key management process, data pipeline

Modernize information consumption capabilities

migrate

Migrate legacy data assets onto target state platform as per reference architecture

monitize

Monetize data assets by empowering business users through governed, self-service capabilities to deliver faster insights

Industry Reference Architectures & Data Models

To help accelerate data design process by providing guidelines and options to develop specific architectures and the implementation of solutions resulting in faster time-to-value.

key
partnerships

We can help you accelerate your time-to-market and increase agility with our comprehensive suite of AWS offerings. Industry-best standards and AWS-guided design patterns drive our AWS cloud solutions. In addition, we adhere to a disciplined continuous review process with experienced and talented AWS-Certified resources.

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Our partnership with Azure helps organizations move to cloud at speed, increasing application availability, technical flexibility, and security improvements.

Monetize your data with the help of Rappino's end-to-end migration and implementation services for Snowflake Data Cloud. Rappino offers end-to-end migration and implementation services for Snowflake Data Cloud, including design, data preparation, re-platforming, and performance optimization.

learn more

why Rappino

EXPERTISE IN DESIGNING & EXECUTING DATA STRATEGY IN DATA-INTENSIVE ENVIRONMENTS

Rappino has expertise designing and implementing data strategies across the functional, governance, talent, and engineering aspects of businesses. Our teams have worked for Wall St. banks (some of the most challenging and data-intensive environments) and helped chart the course of their data journey.

proven
ACCELERATORS FOR
FASTER TIME-TO-VALUE

Rappino combines Human intelligence (SMEs and Data Architects) with cloud-native accelerators to help enterprises realize their true business potential.

READY-TO-CONFIGURE DATA
MODELS, FRAMEWORKS, &
MICRO-SERVICES

We provide transformative insights to customers without compromising on quality.

FAQ’s – Data Strategy

1. What is a data strategy?

A data strategy is a comprehensive plan that outlines how an organization will collect, manage, analyze, and utilize data to achieve its business goals. It is crucial because it ensures that data is leveraged effectively to drive decision-making, optimize operations, and gain a competitive edge. Without a well-defined data strategy, organizations risk making decisions based on incomplete or inaccurate information, leading to missed opportunities and inefficiencies.

2. How do data strategy services benefit businesses?

Data strategy services provide businesses with expert guidance and support in developing and implementing a robust data strategy. These services help organizations identify key data sources, define data governance frameworks, and establish a data-driven culture. By leveraging data strategy services, businesses can unlock the full potential of their data, enabling them to make informed decisions, enhance customer experiences, and drive innovation.

3. What are the essential components of a successful data strategy roadmap?

A successful data strategy roadmap typically includes several key components: data governance, data architecture, data quality management, data integration, and analytics capabilities. It outlines the steps required to achieve short-term and long-term data objectives, aligning data initiatives with business goals. The roadmap also identifies the tools, technologies, and processes needed to support data-driven decision-making and ensures that data is consistently managed and utilized across the organization.

4. What are the best practices for developing a data strategy?

Developing a data strategy involves several best practices: aligning the strategy with business goals, establishing clear data governance policies, ensuring data quality and integrity, and fostering a data-driven culture. It’s also important to create a flexible data architecture that can scale with your organization’s needs and to invest in analytics tools that provide actionable insights. Regularly reviewing and updating the data strategy roadmap is essential to adapt to evolving business requirements and technological advancements.

5. How does a data strategy differ from a data management plan?

A data strategy is a broader, overarching plan that outlines how an organization will use data to achieve its business objectives, while a data management plan focuses on the specific processes and practices for handling data on a day-to-day basis. The data strategy sets the vision and direction for data utilization, including governance, analytics, and innovation, whereas the data management plan details the operational aspects of collecting, storing, and securing data.

What Our Customers Say

Through our partnership with Apexon, we have been able to achieve many goals. One is to get our platform built with speed by helping our engineering teams and then we have also achieved our infrastructure goals of ISO certifications. Apexon team is helping us deploy the platform even faster from two or three times per week to five or six times a week.

Mark Fleishman

VP of Infrastructure and Operations, Paige

Their(Apexon) attention to detail and continued focus on CD Valet has kind of proved that we made the right decision and we have expanded from one team to multiple teams. We are surveying about 31,000 CD rates on a weekly basis and Apexon plays a very important part in that process.

Data Services

Data Strategy

The Challenge

Tomorrow’s enterprises need future-ready data architecture—today.

What we do

WE BUILD A ROBUST DATA FOUNDATION FOR YOUR BUSINESS

Our Offerings

End-to-end Data Strategy

Data Assessment & Identification​

Data Modeling & Consultation

Architecture & Design Frameworks / Blueprints

Compliance & Regulatory Services

Roadmap Services

Data Provisioning

THE OUTCOMES WE DELIVER

Next-Gen Data Platforms Powered by Actionable Strategies

Accelerated blueprinting

Business Outcome-Aligned Data Strategies

Enhanced Data Reusability

Our methodology

hidehow we do it

Our approach

M4 Data Strategy Roadmap

map

modernize

migrate

monitize

keypartnerships

why Rappino

EXPERTISE IN DESIGNING & EXECUTING DATA STRATEGY IN DATA-INTENSIVE ENVIRONMENTS

provenACCELERATORS FOR FASTER TIME-TO-VALUE

READY-TO-CONFIGURE DATA MODELS, FRAMEWORKS, & MICRO-SERVICES

FAQ’s – Data Strategy

What Our Customers Say

Mark Fleishman

Yatin Pradhan

Meet Our Experts

Kumar Roy

Chethan Laxman

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