|
| 1 | +import React from 'react'; |
| 2 | + |
| 3 | +type CollectionPrinciple = { |
| 4 | + name: string; |
| 5 | + description: string; |
| 6 | +}; |
| 7 | + |
| 8 | +const collectionPrinciples: CollectionPrinciple[] = [ |
| 9 | + { |
| 10 | + name: 'Do not build on rented land', |
| 11 | + description: |
| 12 | + 'In the ever-evolving world of data, relying solely on external platforms is risky. Prioritize building your own robust data infrastructure to maintain control and adaptability. Sunsets are inevitable — even for features.', |
| 13 | + }, |
| 14 | + { |
| 15 | + name: 'Step-by-step', |
| 16 | + description: |
| 17 | + 'While anyone can become an AI expert in no time, it is essential to remember the groundwork required to get there. Data development is a journey that demands effort from the ground up. No shortcuts.', |
| 18 | + }, |
| 19 | + { |
| 20 | + name: 'Use tools only for what they are made for', |
| 21 | + description: |
| 22 | + 'Utilize each data tool for its intended purpose to maximize efficiency and avoid unnecessary complications. Misusage leads to inefficiencies and potential risks.', |
| 23 | + }, |
| 24 | + { |
| 25 | + name: 'Focus on what you can control', |
| 26 | + description: |
| 27 | + 'In data management, focusing on factors within your control, like data quality and security, can lead to more reliable and effective outcomes. It is your responsibility and a huge opportunity to set the rules.', |
| 28 | + }, |
| 29 | + { |
| 30 | + name: 'Internalize data', |
| 31 | + description: |
| 32 | + 'Treat data as a fundamental part of your strategy and operations. By fully integrating it into your processes, data becomes intrinsic to decision-making.', |
| 33 | + }, |
| 34 | + { |
| 35 | + name: 'Data is never done', |
| 36 | + description: |
| 37 | + 'The data journey is ongoing. Continuous analysis, refinement, and updates are essential to keeping data relevant and actionable. Build. Measure. Learn. Grow.', |
| 38 | + }, |
| 39 | + { |
| 40 | + name: 'Resilience is key', |
| 41 | + description: |
| 42 | + 'Data environments are dynamic. Designing resilient systems ensures they can withstand changes and unexpected challenges while maintaining continuous data flow and integrity. And yes, probably more legal requirements are coming.', |
| 43 | + }, |
| 44 | +]; |
| 45 | + |
| 46 | +export default function CollectionPrinciples() { |
| 47 | + return ( |
| 48 | + <div className="py-24 sm:py-32"> |
| 49 | + <div className="mx-auto max-w-7xl px-6 lg:px-8"> |
| 50 | + <div className="mx-auto max-w-2xl lg:mx-0"> |
| 51 | + <h2 className="text-pretty text-4xl font-semibold tracking-tight text-white sm:text-5xl"> |
| 52 | + Data collection principles{' '} |
| 53 | + </h2> |
| 54 | + <p className="mt-6 text-lg/8 text-gray-50"> |
| 55 | + Seven principles we follow when working on data projects. |
| 56 | + </p> |
| 57 | + </div> |
| 58 | + <dl className="mx-auto mt-16 grid max-w-2xl grid-cols-1 gap-x-8 gap-y-16 text-base/7 sm:grid-cols-2 lg:mx-0 lg:max-w-none lg:grid-cols-3"> |
| 59 | + {collectionPrinciples.map((principle) => ( |
| 60 | + <div key={principle.name}> |
| 61 | + <dt className="font-semibold text-gray-50">{principle.name}</dt> |
| 62 | + <dt className="mt-1 text-gray-300">{principle.description}</dt> |
| 63 | + </div> |
| 64 | + ))} |
| 65 | + </dl> |
| 66 | + </div> |
| 67 | + </div> |
| 68 | + ); |
| 69 | +} |
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