Infographic Key Components of a Modern Data Estate
By Insight Editor / 2 Nov 2022 / Topics: Data and AI Data center Cybersecurity Storage
Create a foundation for growth in your modern data estate when you implement these five core components. Find out what they are and how organizations have leveraged them in the real world in this infographic.
Accessibility note: The infographic is transcribed below the graphic.
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Organizations that race to implement the key initiatives of their data and Artificial Intelligence (AI) journey often overlook the necessary components that should be examined from day one.
According to “The Path to Digital Transformation: Where IT Leaders Stand in 2022,” an Insight- commissioned IDG report 90% of enterprises expect IT modernization to have either a transformative or significant impact on their organization’s long-term growth.
When deployed, data and AI solutions can enable your organization to:
- Innovate faster and at scale.
- Improve efficiency and customer.
- Strengthen competitive advantage.
- Cut repetitive tasks and human error.
- Help inform better business decisions.
But first, it’s important to understand the core components of a modern data estate — the foundation for creating a modernized data platform.
1. Seamless security and governance
At every level of a modern data estate, supported by clear rules and secure automation for scale
SECURE FOUNDATION:
A recent IDG report commissioned by Insight revealed: 66% of enterprises indicate their organizations are embedding security protocols and governance policies into applications early in the development lifecycle.
2. Smart, scalable storage
Able to span multiple clouds and formats at minimal cost
SCALING CHALLENGES:
Many organizations experience trouble scaling. To address this issue, leaders must ask questions about scale and operational challenges in the initial stages of their data and AI journey. Ask questions like:
- What does scaling mean for our company?
- Are we scaling regionally or globally?
- What infrastructure do we currently have in place?
3. Flexible compute and language
Bring your own engine to the data; supports multiple workloads and different skill sets: AI, BI, real time and more
VALUABLE SOLUTIONS:
Make the Most of Databricks
Databricks brings together data, analytics and AI onto one platform. Built on an open and reliable data foundation, this all-in-one solution handles all data types and applies a unified security and governance approach across all data and cloud platforms, helping organizations operate more efficiently and innovate faster.
4. Intelligent automation and enrichment
Orchestration, replication and workflows in a real-time environment
REAL-WORLD APPLICATION:
Fire Department Cuts Emergency Response Times in Half With Real-Time Data. Ensuring the safety of a 4+ million population, this fire department is leveraging data intelligence and cloud-based infrastructure to respond faster than ever when it matters most.
5. Democratic discoverability and sharing
Curated catalogs with common vocabularies, enabled for proper access and sharing across employees, customers and third parties
REAL-WORLD APPLICATION:
National Restaurant Chain Commits to Data Modernization. When a divestiture-driven migration left a nationally recognized chain restaurant with fractured data and inconsistent reporting, Insight built a modern data pipeline to establish a single source of truth for greater accuracy and reduced operational costs.
The world demands more of your business. And you should expect more from your data ecosystem.
No matter what stage you are at in the data and AI journey, it is essential to have the right partner to better support your business outcomes and drive real value. Accelerate your data and AI journey and realize stronger speed to value with Insight.
Sources:
Marketpulse Research by IDG Research Services. (January 2022). The Path to Digital Transformation: Where IT Leaders Stand in 2022. Commissioned by Insight.
