This article describes both alarming and encouraging insights about analytics in manufacturing and industry. These come from PwC's 2016 Industry 4.0: Building the Industrial Enterprise survey.
- of 2,000 respondents only 18% rate the maturity of their data analytics as advanced. Only half use data to drive decisions. That's the alarming part.
- Dan DiFilippo states that cost-effective data analytics tools available and gives practical tips to make data-driven decision the standard in your company
Given that data is the heart of the matter it behoves looking at platforms like HPEs. Combined with analytics that can be:-
- embedded in enterprise apps
- embedded in manufacturing processes
- offer secure and intuitive self-service BI
you'll be well on your way.
Buy also make sure the BI and Analytics delivers relevant insight to all the audience Dan mentions:-
- Employees
- Customers
- Stakeholders
- Suppliers
- Regulatory bodies
That means licensing that is scalable commercially. Beware small "out-of-the-box" solutions that are beguiling in demos and proof of concepts to tens of users and become cost crippling when deployed widely.
Data analytics is at the very heart of Industry 4.0. Leading industrial companies are embracing Industry 4.0 to create tightly woven digital ecosystems of employees, customers, partners, and suppliers—empowering them to rapidly deliver customized products and services while increasing revenue and driving down costs. To remain competitive, every industrial company should review its data analytics skills and organizational structures, making sure it can capture, analyze and fully leverage the data at executives’ fingertips to refine products and services and meet changing customer needs.
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