Machine downtime meets it match

Vijay Vasudevan

That’s the title of a nice article written recently by Design-2-Part Magazine. And it’s the title of our blog post, albeit with a slight twist – we affirm that Machine Downtime HAS met it’s match – in IoT Analytics platforms.

The article nicely articulates how our next-gen Analytics platform seamlessly ingests and parses analyzes machine data of all complexity (be it variety, volume or velocity), and then presents it in easy-to-consume reports and anomaly detection capabilities (simply referred to as ‘Rules’). And it also describe the key benefits of our platform for numerous functional areas within a manufacturing organization, especially it’s Support groups, namely:

  • Predictive Maintenance: Predict that a problem is about to occur, before it actually happens.
  • Prescriptive Maintenance: Prescribe what to do when a problem occurs based on past analysis (ideally captured in a Knowledgebase)
  • Lowering MTTR: Dramatically reduce the mean time to resolution (MTTR) for any Support issue.
  • Proactive Maintenance: Constantly monitor systems and alert support teams of impending issues

Design-2-Part also talks about our partnerships – another important component of the ecosystem we participate in. PTC (with Aexda, ThingWorx and Coldlight) is a leader in the IoT space and we enjoy working with them to bring solutions to end-customers that complement respective capabilities. There are numerous other partner companies, b0th large- and mid-sized, that we partner with to round out our solution and present a ‘soup-to-nuts’ offering for companies wishing to embrace IoT in a meaningful way.

We are going to be ANNOUNCING some key partnerships this Fall, so stay tuned!