In today’s uncertain economic climate, data leaders face the challenge of driving innovation and maintaining quality data operations with fewer resources, while ensuring proactive organizational resiliency.
In addition, as workers increase their use of generative AI in the workplace, AI innovation is expanding at an unprecedented pace.
Leaders are struggling to provide valuable data at the speed of business, heightened by this demand for real-time, AI-driven data. Organizations continue to struggle with how to efficiently scale data assets, while making the right data and AI tools accessible to their employees.
Intralytics believes that data products are the cornerstone for enabling AI, advanced analytics, and platform innovation.
In this article, we highlight our approach to data products, which focuses on integrating and democratizing the advanced analytic capabilities they unlock, as well as promoting a seamless, modernized approach to data accessibility.
Our Data Product Approach & Services
50% of large firms are expected to adopt data product strategies by 2026. (Source: IDC 2024)
A data product strategy structures your business and technology around a product-centric operating model, centered around the idea of scaling data as a valuable asset to deliver measurable outcomes.
Intralytics believes a data product strategy should be integrated with an AI roadmap and strategy. A data product foundation amplifies your ability to rapidly develop, monetize, and promote AI/ML products for critical competitive advantages.
Intralytics provides the tools and strategies to accelerate your progress, no matter where you are in your data product journey.
For Firms Implementing Data Product Strategies
Unified Data & AI Engineering:
Cloud and Lakehouse platform engineering to unify fragmented, legacy data infrastructures, and execute data product build on your platforms.
AI/ML Integration Expertise:
ML Ops and Gen AI/LLM Ops for your data products, executing on opportunities for custom Gen AI Applications and ML-powered predictive modeling. With product usage tracking and user feedback loops enabled, your development teams will know which advanced analytic initiatives will bring the most value to your business.
Advanced Data Management Techniques:
We blend data management with intelligent automation. We execute on data quality engineering, ML for data enrichment, and Gen AI to proactively manage compliance of data products.
For Firms Starting their Data Product Journey
Use Case Identification:
Our industry data experts provide strategic support to prioritize opportunities for data and analytic products across your business lines. We help you rationalize domain-centric data models, for-purpose analytic products, internal template, and more.
Architecture Design & Roadmap:
We lead the design of target-state data architectures, leveraging Cloud and Lakehouse platforms, and formalize detailed implementation roadmaps guide your growth around data product capabilities.
Data Strategy & Target Operating Models:
We define a Target Operating Model, and lead change management for data governance roles, responsibilities, and interactions, as well as data product management workflows to deliver innovation and continuous value delivery.
Let's Get Engaged!
We offer a free 90-min. Data Product Strategy & Architecture Workshop, geared toward connecting your data ecosystem and enabling data product capabilities to support insights and efficiencies.
Set up an intro or schedule a Data Product Workshop with our solution leaders.
Visit our site to learn about our full suite of technology services and strategic consulting services.
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