The modern data tooling ecosystem is challenging for most buyers to navigate, curate, implement and support.
The modern data tooling ecosystem is challenging for most buyers to navigate, curate, implement and support.
The modern data tooling ecosystem is challenging for most buyers to navigate, curate, implement and support.
Hiring the right technical experts is more challenging (and expensive) than ever.
Hiring the right technical experts is more challenging (and expensive) than ever.
Time to “value” through modernization often takes six months to a year making the cost curve & risk daunting.
Time to “value” through modernization often takes six months to a year making the cost curve & risk daunting.
The world is experiencing exponential leaps in the advancement of generative AI, but companies remain leary of leveraging it within their own data infrastructure.
The world is experiencing exponential leaps in the advancement of generative AI, but companies remain leary of leveraging it within their own data infrastructure.
Data is trapped in disparate databases, files, tools/software, and “john doe’s” laptop. Teams and business units struggle to access accurate up-to-date information to conduct their jobs.
Data is trapped in disparate databases, files, tools/software, and “john doe’s” laptop. Teams and business units struggle to access accurate up-to-date information to conduct their jobs.
Analysts and operators can’t get their hands on the data they need to answer complex questions posed by company leaders.
Analysts and operators can’t get their hands on the data they need to answer complex questions posed by company leaders.
Business users wait weeks for non-routine report requests… or decide to move forward without it. Executives are starved for more visibility into their organization.
Business users wait weeks for non-routine report requests… or decide to move forward without it. Executives are starved for more visibility into their organization.
Engineering and IT stakeholders are forced to put critical work on hold to handle a never-ending queue of bug fixes, ad-hoc requests, troubleshooting and reactionary communication. Teams may not be working with the same—or the right—data, causing misalignment, confusion, and chaos.
Engineering and IT stakeholders are forced to put critical work on hold to handle a never-ending queue of bug fixes, ad-hoc requests, troubleshooting and reactionary communication. Teams may not be working with the same—or the right—data, causing misalignment, confusion, and chaos.
