Notes about Cutting-Edge Technologies and Everything

Digital society expects its citizens to “speak data.” Unless data and analytics  leaders treat information as the new second language of business,  government and communities, they will not be able to deliver the  competitive advantage and agility demanded by their enterprises. Key Challenges ■ Poor data literacy is the second highest inhibitor to progress, as reported by respondents to Gartner’s third annual Chief Data Oficer Survey, behind culture change and just ahead of lack of t alent and skills. ■ An information language barrier exists across business units and IT functions, rooted in ineffective communication across a wide range of diverse stakeholders. As a result, data and analytics leaders struggle to get their message across and information assets go underutilized. ■ Although academic and professional programs are beginning to address the disparity in talent  and skills, in many cases they reinforce the information language barrier with narrow content...

In the knowledge-based economy the wealth-creating capacity of organisations is no longer based on tangible assets such as buildings, equipment, and vehicles alone. Intangible assets are key contributors to securing sustainable competitive advantage. It is therefore critically important that intangible Information Assets (IA) such as data, documents, content on web sites, and knowledge are understood and well managed. The sound management of these assets allows an organisation to run faster and better, resulting in products and services that are of a higher quality at a lower cost with the benefits of reduced risk, improved competitive position, and higher return on investment. The initial stage of this research found that executive level managers acknowledge the existence and importance of Information Assets in their organisations, but that hardly any mechanisms are in place for the management and governance of these valuable assets. This paper discusses the reasons for this situation...

AIOps is an emerging technology and addresses something I’m a big fan of – improving IT Operations.  So I asked fellow Gartner analyst Colin Fletcher for a guest blog on the topic… Roughly three years ago, it was looking like we were going to see many enterprise IT operations leaders put themselves in the precarious role of “ the cobbler’s children ” by forgoing investment in Artificial Intelligence (AI) to help them do their work better, faster, and cheaper. We were hearing from many IT ops leaders building incredibly sophisticated Big Data and Advanced Analytics systems for business stakeholders, but were themselves using rudimentary, reactive red/yellow/green lights and manual steps to help run the infrastructure required to keep those same systems up and running. Further, we’re all now familiar in our personal lives with dynamic recommendations from online retailers, search providers, virtual personal assistants, and entertainment services, Talk about a paradox! Now I...

Key Takeaways  Alation, Collibra, Alex Solutions, And IBM Lead The Pack Forrester’s research uncovered a market in which Alation, Collibra, Alex Solutions, and IBM are Leaders; data.world, Informatica, Io-Tahoe, and Hitachi Vantara are Strong Performers; and Infogix and erwin are Contenders.  Collaboration, Lineage, And Data Variety Are Key Differentiators As metadata and business glossary technology becomes outdated and less effective, improved machine learning will dictate which providers lead the pack. Vendors that can provide scaleout collaboration, offer detailed data lineage, and interpret any type of data will position themselves to successfully deliver contextualized, trusted, accessible data to their customers. Read full report >>>