thomas.wieberneit@aheadcrm.co.nz
Nimble and Microsoft are Getting ever Closer

Nimble and Microsoft are Getting ever Closer

It has been three months since I last talked with Jon Ferrara, CEO of Nimble. Back in February, he introduced me to their Nimble Smart Contacts add-in to Outlook Mobile. It delivered people and company social relationship insights for free to over 40M Outlook Mobile users. Since then, he and his Nimble team have been pretty busy working with Microsoft, as one could see from his Facebook posts – having one coordination session in Seattle after the other. Nimble will soon announce that they extended the Nimble freemium Smart Contacts for Outlook Mobile add-in to become a free plugin into Outlook Desktop Windows/Mac and Office 365. This move recognizes that the world is going cloud and mobile and that the Microsoft stack of productivity applications is the most widely used set of applications in Enterprises of all sizes. Google applications, with the notable exception of Google Mail, do not stand a chance here. The same holds true for Salesforce, which acquired the productivity tool startup Quip in August of last year, or Zoho’s Docs, or any  other smaller vendor tools. The logical next step is to … … integrate Nimble into Outlook Desktop and Office 365.  I already speculated about this in my February post: Imagine the following: The Smart Contacts App, or rather Nimble becoming part of the Office365 fabric, working with the full Microsoft application stack, like Outlook, Skype, Team, Dynamics, Office365, LinkedIn, PowerBI and Azure. Add the fact that many smaller businesses are still working without a CRM system, but merely use their mail clients and spreedsheets – and MS Office. Continue the thought with: Salesforce,...
Google and SAP – A Marriage in the Clouds

Google and SAP – A Marriage in the Clouds

On Mach 8, 2017, SAP and Google announced another marriage in the cloud during Google’s Cloud Next event: SAP HANA is certified on Google’s Cloud Platform GCP, and is generally available now. SAP Cloud Platform and more products and solutions are to follow. The Google Cloud Launcher marketplace will be utilized to offer and deploy to and for customers and partners, starting with SAP HANA, express edition, which is already available, too. Further topics that are covered by this partnership are Improving Google’s containerization technologies for enterprise workloads Security, privacy, and integrity of customer data in the cloud. As part of this SAP software shall act as a data custodian (NB: How that works in legal and political environments remains to be seen) and joint solutions for access control, governance, risk and compliance shall get developed Integrate Google’s G Suite into SAP applications. This has already been implemented for Identity and Access Management. More on the still fuzzy side are end-to-end integrations and collaborations in the areas of AI and machine learning. True to the SAP mantra of being an ecosystem player this is all about choice – choice for the customer to implement what is best for them. My Take Another interesting one! Good Win for SAP SAP now covers all major cloud platforms. HANA is now certified on AWS, Azure, and GCS, apart from running in the SAP cloud. With this SAP now has the broadest footprint when it comes to running on an IaaS platform. With the SAP Cloud Platform being available soon there also will be a very powerful PaaS solution on one of the...
Gartner MQ BI and Analytics Platforms – Lots of Movement

Gartner MQ BI and Analytics Platforms – Lots of Movement

Last week Gartner published the updated version of its Magic Quadrant for Business Intelligence and Analytics Platforms, and I need to say that there has been a lot of movement in both directions, up as well as down. There has been a lot of reshuffling especially in the Visionaries quadrant. This can partly be attributed to a changing market that caused Gartner to combine a few of last year’s assessment criteria as well as adding two more critical criteria as below: Critical Capabilities Dropped or Changed: Combined BI Platform Administration with Security and User Administration Modified Data Source Connectivity to Data Source Connectivity and Ingestion Combined Publish Analytics Content and Collaboration and Social BI to Publish, Share and Collaborate on Analytic Content Added Visual Appeal to Ease of Use Capabilities Added: Smart Data Discovery Platform Capabilities Workflow Integration Smart Data Discovery emphasizes the increasing importance of AI and machine learning as part of analytics systems. Gartner defines it around the automatically “finding, visualizing and narrating of important findings such as correlations, exceptions, clusters, links and predictions in data that are relevant to users without requiring them to build models or write algorithms. Users explore data via visualizations, natural-language-generated narration, search and natural-language query technologies”. Workflow Integration acknowledges that there is no actionable insight if there is a standalone analytics system. It is defined around the number of products “needed to deliver the critical capabilities and the degree of seamless integration and workflow between capabilities/components”. This has been true for a long time, but hey, better late than never. Gartner itself states that the changes have been major and that...
Forrester Wave CRM Suites for Mid-Sized Businesses – What it Means

Forrester Wave CRM Suites for Mid-Sized Businesses – What it Means

Finally, the much-anticipated Forrester Wave on CRM Suites for Mid-Sized Businesses Q4/2016 has been published by Kate Leggett and her team at Forrester Research. Besides the usual suspects Oracle, Microsoft, Salesforce, and SAP it covers 7 more vendors that fulfil Forrester’s definition of a CRM suite for mid-sized businesses. This definition roughly is To be considered a suite the software covers at least three of the CRM disciplines Marketing Sales Force Automation Customer Service Field Service E-Commerce Customer Analytics There needs to be prebuilt integration between the products, if they are not within the same system; integration shall be via open standards to allow for integrating other applications. The software needs to be targeted at organizations between 250 and 999 employees. Multiple industries need to be targeted. Of course, the solutions need to be in active use and there need to be customer references. The Forrester Wave has some interesting results, some confirming what other people see, too, others somewhat surprising. Let me start with the confirmations, continue with bits that surprised me, and close with an SAP specific view. The Confirmations Of course, we are talking cloud – cloud and nothing else. As can be expected all vendors strive to deliver a toolset that helps their customers to deliver consistent customer experiences. Now I, and others, would argue that the experience is largely in the realm of the end customer and the users and that there is nothing like a ‘system of experience’. Delivering consistent experiences encompasses far more than a CRM suite. But then it is far easier (and sexier) to talk about delivering experiences than about...
Clash of Titans – SAP, Oracle, Microsoft, Oracle Quo Vadis?

Clash of Titans – SAP, Oracle, Microsoft, Oracle Quo Vadis?

Following all those announcements of AI, machine learning, IoT, IaaS, PaaS and what not over the past months, I was beginning to wonder where the big business software vendors are going. What is the game plan of Microsoft, Oracle, Salesforce, SAP? How does newcomer Adobe fit in there? Maybe Amazon and Google, too; or Facebook. It is a time for another Quo Vadis – this time: Quo Vadis, industry? Clash of Titans In the last about 2 – 3 years we have seen a strong acceleration of innovation, or at least talk about it. Cloud computing, offering nearly unlimited scalability and elasticity of computing resources has become main stream. Cloud computing also allows for nearly 100 per cent uptime Since the advent of the iPhone (yes, I know this was earlier than 2013) the proliferation of sensors has increased a lot, resulting in them becoming cheaper and cheaper, allowing for an increasing number of data rich applications This has also driven fast mobile connectivity, which has become nearly ubiquitous; maybe except a few blessed spots on this planet, which will be covered soon, too. Think of Google’s Balloon project or Facebook’s drone Memory has become dirt cheap, and fast In-memory technologies, No-SQL databases, Hadoop, Spark, and improvements of analytics algorithms make it possible to work with huge sets of data in real time The (re-)emergence of AI technologies, progress in machine learning and deep learning, enabled by the now available computing power, help in pattern recognition that allows machine driven suggestion, prediction, and prescription of actions, based upon huge amounts of data Data, be it machine-generated or human created...