It's pretty obvious to anyone who follows analytics and Big Data that an end-to-end solution for the Big Data stack will require best-of-breed technologies from multiple vendors. No single vendor can develop all the technology pieces on its own. New applications and data processing frameworks emerge and change much too quickly. As enterprises strive to create a modern and flexible hybrid data infrastructure, they look for technologies that are easy to embed and extend.
Stranger: “What does that mean? It’s something with computers, right?”
When I’m introduced to someone, this conversation is typical. I’ve been in various technical presales positions for more than ten years. I’ve built a career on my ability to engineer solutions to prove both business and technical value to all manner of companies. But more importantly, I’ve built my career on my ability to confidently answer technical and business-oriented questions.
As a business development representative at Attivio, I regularly speak to companies about their big data management challenges and possible technology solutions. Many of their pain points would resonate with organizations across a wide array of industries.
Are you looking to modernize your data architecture? If so, you’re not alone. According to Gartner, 90% of an enterprise organization’s information is siloed and unleveragable across business processes, meaning it takes too much time to find and understand the connections between data sources.
A full 40% of search applications search only unstructured information when gathering data for business intelligence. Do you trust that you’re getting complete and accurate answers to your search inquiries?