How PLM will catch the wave of analytics

How PLM will catch the wave of analytics

plm-analytic-salesforce-wave

Data has tremendous value for any manufacturing organization. Nobody can dispute that. One of value propositions of PLM is to have an access about product data and process information in a meaningful form. You can find lot of information about it online. Here is just one example. Navigate to Tech Clarity report – Business Intelligence extending PLM value by Jim Brown. I liked the following passage from the blog post introducing the report:

The perfect storm of application and implementation maturity has set the table for significant value to be unleashed from PLM. The data currently buried in PLM systems is an untapped source of value for manufacturers. Now, companies are turning to Business Intelligence (BI) in order to tap into the wealth of product knowledge generated and available in PLM repositories. And like ERP, Customer Relationship Management (CRM), and other enterprise applications have proven in the past, there is strategic and tactical business value waiting to be delivered.

However, not much was done to bring it into reality. Most of reporting functionality of PLM products is clunky. Significant effort needed to bring right data in the right form. In many situations, customers are using services to generate and run reports. I touched the topic of PLM analytics a year ago – What is the future of PLM data analytics? My main point back one year ago was about speed of report generating and analytic processing. I can see some changes in the recent time. PLM vendors are starting to focus on how to improve data access user experience and speed of reporting.

PLM vendors are not alone in the hunt for data analytics these days. Few weeks ago, Salesforce.com announced about their plans to democratize analytics and bring it to every user in a simple way. Navigate your browser to the following link to learn more about Salesforce Analytics Cloud powered by Wave technologies.

The following  screenshot captured from Salesforce Analytics cloud website made me think Salesforce is not limiting analytics to CRM data. The vision of Salesforce Wave is much beyond – the plan is to reach out to data located on the desktop, public internet, social networks and enterprise applications. It includes partnership with other vendors too.  Sort of grand vision…

sf-wave-cloud

It made me think about the role PLM vendors and PLM products will play in new analytics wave plans. My attention caught by PTC announcement – PTC Joins New Salesforce Analytics Cloud Ecosystem to Extend Internet of Things Technology.

PTC will use its PTC ThingWorx and PTC Axeda Machine Cloud® technology to extend Wave by providing access to streaming Internet of Things (IoT) data from smart, connected products. Specifically, the integration will empower PTC and Salesforce customers to view data generated in a unified experience. The insights gained from the data will allow business units across an organization to more easily develop data analytic strategies that deliver stronger business value to their customers.

CIMdata provided an additional insight on PTC and Salesforce partnership here. To me, the key thing is related to unified experience. That was the key missing part in business intelligence, reporting and other data extraction technologies developed in the past.

What is my conclusion? Salesforce made a huge platform step by introducing Salesforce Wave. However, the future success of Wave is dependent on data availability. How fast Salesforce will be able to provide access to data locked in other enterprise platforms? The value of mixing CRM and PLM data can be significant and it can help PLM vendors to bring customers to their platforms. However, to catch the wave can be a tricky part for PLM platforms. It will require significant shift in openness and state of mind. Just my thoughts…

Best, Oleg

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  • Bibek Banerjee

    very relevant post – unified experience is the key. Its time end users are not made to bother about the platform, technology etc and are instead allowed to focus on what they do best.