DATA STRATEGY
Data Strategy helps ensure that data is managed and used like the valuable asset it is. It provides a common set of goals and objectives across projects and platforms to ensure data is stored and used effectively and efficiently to support the goals of the business.
An organization should take a holistic approach to adopt a long-term data strategy – with optimized technological investments, people, and processes – to enable continuous business growth.
Learn about our two-week Data Strategy Assessment offering. Our streamlined approach has been a cost-effective and empowering first step for our clients' leaders and teams, covering five key areas related to data strategy:
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Business Alignment: Aligning data strategy with business strategy, with a focus on the desired business results.
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Governance: Managing datasets in terms of ownership, integrity, compliance, quality, content, and relationship with other datasets.
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Organization: Identifying the makeup of the current IT organization, and discuss an organization's ability to support the data strategy, architecture, and governance.
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Architecture: Understanding the existing and future data assets. Raising important questions, such as: What type of data is needed to solve business challenges? What's the volume growth in three to five years?
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Tool Selection: Carefully evaluate modern data platform vendors and tools to ensure they meet key elements of the data strategy.
Featured Case Study:
Accelerated Enterprise Data Strategy & Tool Selection
DATA ENGINEERING
With decades of experience architecting and implementing Data and Analytics solutions, DevIQ specializes in modern data platforms that leverage best of breed offerings from our Data Partners – including Databricks, Snowflake, Fivetran, DBT Labs, Sigma, and more.
We'll unite your data across platforms, departments, and vendors with a privacy-first approach, and help you unlock the full potential of your data. Our capabilities include:
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ELT Data Pipeline Planning and Implementation
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Data Lake & Data Lakehouse Architecture
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Business Analytics & Reporting
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GraphQL, REST & 3rd party API Integrations
DATA SCIENCE
We built our own Data Practice with professionals skilled in the science (and the art) of data analysis and machine learning algorithm modeling. Our team's capabilities support an end-to-end ML and data science solution offering that helps our clients achieve specific goals.
Here’s how our data science approach works:
1. Prove Value – We process and explore the data, and map out the value to the business.
2. Implementation – We develop an implementation strategy and an MVP model/method.
3. Augmentation – We refine our strategy and provide enhancement recommendations based on alternative and/or improved data sources.
Ready for a modern data solution?
Start with an expert & accelerated assessment to unlock data-driven insights and opportunities.
Before you embark on the journey to build a modern data platform, ensure that your technology investments will align with your organization's data strategy and business goals. We have a mature process for quickly understanding your enterprise needs, defining an architecture and approach, and then assisting with execution – including a structured-yet-rapid tool evaluation and selection process. Our team is highly experienced in the most recent architectures, including cloud data lakes, lakehouses, and data mesh implementations.
Our two-week Data Strategy Assessment offering covers the following topics:
- A 2-day workshop, including understanding key business objectives, personas, and the current IT systems and data landscape.
- Matching the appropriate cloud technologies to your organization's business use cases, using our proven tool selection process.
- Understanding your current data engineering skillsets and making recommendations for training and collaboration to fill skillset gaps.
- Enabling compliance with your data governance requirements using the best cloud technologies available.
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Ensuring you are selecting a technology stack that achieves the best total cost of Ownership (TCO) and aligns with your business goals.
Our streamlined assessment approach is proven, cost-effective, and empowering. Please get in touch for more information about partnering with DevIQ for this important first step toward data modernization.