“Actifio Looks To Meld DataOps With DevOps”

“Actifio & IBM have formed an alliance under which IBM will make available data management software developed by Actifio under its own to close the gap between DevOps & DataOps”   With the rise of both DevOps & DataOps, there is now a unique opportunity to unify the management of pipelines across the enterprise. There is…

Read More
“A New Path for Telco Customer Engagement”

“Next-generation marketing and sales techniques offer incumbents real opportunity to thrive in a challenging landscape”   The long-promised concept of Omni-channel is becoming a reality now that mobile and the web are seamlessly connected and both automation and personalization are possible with Advanced Analytics (AA). Two threats have exposed the old way of doing business…

Read More
“10 Data and Analytics Trends to Watch in 2019”

“In 2019, leaders are now being challenged to change their siloed, departmental analytics approach to data, put away all their “interesting” dashboards, and get down to defined business outcomes. It is not just analytics; you have to keep your eye on the prize-action”.   These are 10 Enterprise Analytics Trends to watch in 2019: 1)…

Read More
“5 Reasons To Pool Your Data”

“Credit unions are smaller than major banks and do not have the same quantity of data that banks are collecting from their customers. Data pooling seems to be the major key in this problem…”.   There are five reasons the credit union must be involved in data pooling: 1) Access to diverse data:  data diversity…

Read More
“5 Data Analytics Trends in 2019”

“There is a gap between the availability of today’s analytical tools, and their adoption within organizations. If those gaps can be closed, the result will empower humans, and then enterprises will be able to handle it”.   Data Analytics trends in 2019: 1) Artificial Intelligence (AI) will make Analytics more human, not less: from reading…

Read More
“4 Pillars Of Analytics”

“Data acquisition, processing, surfacing and actioning are key to an effective analytics initiative”.   There are four key pillars that rule the lifecycle of analytics projects that are a significant part of the value chain of analytics. 1) Acquisition: a wide range of tasks, system and technology knowledge one needs to possess in order to…

Read More
“Data Analysis And Project Management: How Analysts Can Benefit From Project Management Techniques”

“As an analyst, you really need to be, in a sense, bilingual. You need to have a competency in analytics and a firm understanding of your organization’s domain, to be able to translate analytics into action”.   While data analysts are incredibly smart and talented individuals, they sometimes have difficulty communicating with their takeaways and…

Read More