May 06, 2025
Daniel Herman
When we think of "simpler" and "smarter" in relation to data management, most of us immediately nod at "smarter." Of course we want more intelligent ways to use data. After all, it's become a critical force multiplier for business success. But "simpler"? That might make you skeptical. Technology rarely feels simple, especially in the data world where complexity seems inevitable.
But we believe this pair – simpler AND smarter – is essential for organizations to fully leverage their data assets, both now and in the future. Here's a look at why.
You're probably at once drowning in data while starving for insights. Most enterprises are data-rich but struggle with making that data accessible and understandable. Teams often can't find what they need, don't understand what they find, or can't trust what they use.
Data is poorly documented, stuck away in a corner somewhere. Without clear visibility into your data ecosystem, you can't make informed decisions. This is where a simpler, smarter data catalog makes all the difference.
It's a simple fact: the more people can find and trust data, the more they'll use it. And the more they use it, the more data-driven they become. But this requires making investments that empower users and reduce friction in their data journey.
We approach this this by meeting users where they are rather than adding steps to their workflow. Features like Archie Chat and our Slack integrations improve visibility while creating interactive experiences so that teams can easily use their data.
There's more complexity in the data universe by the day. Microservices architecture, distributed teams, self-service analytics, AI implementation, and SaaS tools mean data no longer lives centrally. It's spread across hundreds of systems. According to one Forrester study, large organizations use an average of 367 different software tools, creating data silos and disrupting processes between teams.
Making governance both simpler and smarter requires automation wherever possible while streamlining the human element. This means enriched metadata, automated governance workflows, and a catalog built on a knowledge graph architecture designed to catalog virtually anything.
AI isn't magic. It's an exponential multiplier of the data that feeds it. It can make good data great, but it can also amplify the problems in bad data. Large language models hunger for semantics and context, and they can only work with what you provide.
This means your data needs proper organization with visible lineage from top to bottom. We help you achieve this through data quality dashboards, automated governance workflows, and impact analysis tools. Simpler, smarter data is foundational to creating simpler, smarter AI. That's a goal for most enterprise AI initiatives.
We don't have all the answers about what "simpler, smarter data" looks like in every context. That standard evolves as rapidly as the field itself. But we remain committed to partnering with organizations to transform data chaos into clarity, as evidenced through features like Archie Chat, Data Marketplace, and a focus on customer feedback.
The future of data management requires building a solid foundation that organizations can iterate upon as new challenges emerge. That's for tomorrow, next year, or a decade from now. Simpler, smarter data isn't just a tagline; it's a necessary approach to unlock your most valuable asset.
In a world where approximately 80% of AI projects fail to deliver value, the quality of your data foundation matters. Investing in accessible, well-governed data environments mean you can make better decisions, respond faster to market changes, and successfully implement AI initiatives that deliver real business impact.
When we think of "simpler" and "smarter" in relation to data management, most of us immediately nod at "smarter." Of course we want more intelligent ways to use data. After all, it's become a critical force multiplier for business success. But "simpler"? That might make you skeptical. Technology rarely feels simple, especially in the data world where complexity seems inevitable.
But we believe this pair – simpler AND smarter – is essential for organizations to fully leverage their data assets, both now and in the future. Here's a look at why.
You're probably at once drowning in data while starving for insights. Most enterprises are data-rich but struggle with making that data accessible and understandable. Teams often can't find what they need, don't understand what they find, or can't trust what they use.
Data is poorly documented, stuck away in a corner somewhere. Without clear visibility into your data ecosystem, you can't make informed decisions. This is where a simpler, smarter data catalog makes all the difference.
It's a simple fact: the more people can find and trust data, the more they'll use it. And the more they use it, the more data-driven they become. But this requires making investments that empower users and reduce friction in their data journey.
We approach this this by meeting users where they are rather than adding steps to their workflow. Features like Archie Chat and our Slack integrations improve visibility while creating interactive experiences so that teams can easily use their data.
There's more complexity in the data universe by the day. Microservices architecture, distributed teams, self-service analytics, AI implementation, and SaaS tools mean data no longer lives centrally. It's spread across hundreds of systems. According to one Forrester study, large organizations use an average of 367 different software tools, creating data silos and disrupting processes between teams.
Making governance both simpler and smarter requires automation wherever possible while streamlining the human element. This means enriched metadata, automated governance workflows, and a catalog built on a knowledge graph architecture designed to catalog virtually anything.
AI isn't magic. It's an exponential multiplier of the data that feeds it. It can make good data great, but it can also amplify the problems in bad data. Large language models hunger for semantics and context, and they can only work with what you provide.
This means your data needs proper organization with visible lineage from top to bottom. We help you achieve this through data quality dashboards, automated governance workflows, and impact analysis tools. Simpler, smarter data is foundational to creating simpler, smarter AI. That's a goal for most enterprise AI initiatives.
We don't have all the answers about what "simpler, smarter data" looks like in every context. That standard evolves as rapidly as the field itself. But we remain committed to partnering with organizations to transform data chaos into clarity, as evidenced through features like Archie Chat, Data Marketplace, and a focus on customer feedback.
The future of data management requires building a solid foundation that organizations can iterate upon as new challenges emerge. That's for tomorrow, next year, or a decade from now. Simpler, smarter data isn't just a tagline; it's a necessary approach to unlock your most valuable asset.
In a world where approximately 80% of AI projects fail to deliver value, the quality of your data foundation matters. Investing in accessible, well-governed data environments mean you can make better decisions, respond faster to market changes, and successfully implement AI initiatives that deliver real business impact.
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