'D' of Things

The range of what we think and do is limited by what we fail to notice. And because we fail to notice that we fail to notice there is little we can do to change until we notice how failing to notice shapes our thoughts and deeds. —R.D. Laing Amid the hype surrounding technology trends such as big data, cloud computing, or the Internet of Things, for a vast number of organizations, a quiet, persistent question remains unanswered: how do we ensure efficiency and control of our business operations? Business process efficiency and proficiency are essential ingredients for ensuring business growth and competitive advantage. Every day, organizations are discovering that their business process management (BPM) applications and practices are insufficient to take them to higher levels of effectiveness and control. Consumers of BPM technology are now pushing the limits of BPM practices, and BPM software providers are urging the technology forward. So what can we expect from the next

“Companies are looking for a unified and open approach to help them accelerate and expand the flow of data across their data landscapes for all users. SAP Data Hub bridges the gap between Big Data and enterprise data, enabling companies to build applications that extract value from data across the organization, no matter if it lies in the cloud or on premise, in a data lake or the enterprise data warehouse, or in an SAP or non-SAP system.” This is part of what Bernd Leukert, SAP’s member of the executive board for products & innovation mentioned during SAP’s Big Data Event held at the SAP Hudson Yards office in New York City as part of the new SAP Data Hub announcement and one that, in my view, marked the beginning of a small yet important trend within analytics consisting on the launch or renewed and integrated software platforms for analytics, BI and data science. This movement, marked by other important announcements including Teradata’s New Analytics Platform as well

In a continuation of my tour across the Canadian data management and analytics landscape started in Part 1 , I will now describe a new group of companies from both ends of this great country that have incorporated “state-of-the-art” data and analytics technologies to their solutions These companies, many of them startups ascending in the market ladder and  changing dramatically not just Canadian market but the global market with the introduction of innovative solutions in many key areas of the data management space, ranging from data visualization to advanced analysis and data warehousing. So, here a complementary list of Canadian data solutions: CrowdBabble Solution(s): CrowdBabble Crowdbabble is a social media analytics company from Toronto at the Ryerson Futures Technology Accelerator in the DMZ, that aims to help marketers to eliminate the complexities and time involved in the analysis performed to tie social media activities to business outcomes With a Software as