Automation and the Future of Collaboration

Transcription

1 Automation and the Future of Collaboration Online Conference June 17 th and 18 th 2015

2 Brad Orluk Nintex Brad has been evangelizing technology and process automation for over 15 years. Prior to joining Nintex, he was an Information Architect at a leading global industrial gases firm. Notable Projects & Initiatives - Lead on a Lotus Notes to SharePoint Migration Project Lead on Workflow Platform Migration Architected Procurement, IT, and CX Automation for F500 SharePoint COP / User Education & Enablement Onboard Global Systems Integrators to Partner Program Brad.Orluk@Nintex.com Twitter Facebook : Brad Orluk LinkedIn :

3 Topics The Current State of Automation Why automation? The problems we face The long tail of automation A simple scenario What are my options and what tech is available? Decoding Intelligent Process Automation Technologies The automation market landscape What can be automated What s next for automation

4 Why Automation? Increase capacity Reduce errors / Reduce rekeying of data Reduce time to value Doing things that used to require custom code Lower headcount / Lower spend Structure the unstructured

5 It isn t the thing. It s the thing that gets us to THE thing. - Joe MacMillian

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7 IT in the real world

8 Users in the real world

9 Successful digital transformations are significantly less focused on cost efficiency and more focused on new products or new customers Harvard Business Review, July 2017 integrating unstructured data The bottom-line: RPA provides the building blocks for digitizing rudimentary processes in the digital underbelly, but the broader market for intelligent process automation is more than 10x the size. Horses for Sources, Phil Fersht, June 2017 We want to be driving the conversation of humans plus machines rather than humans versus machines. Dave Coplin, Chief Envisioning Officer, Microsoft UK

10 Unstructured data Gartner: Data volume is set to grow 800% over the next 5 years Headwaters: 80% of content will reside as unstructured data. IDG: Unstructured data is growing 62% per year. IDG: By 2022, 93% of all data will be unstructured.

11 Process and Opportunities to Automate Across the Enterprise Highly specialized McKinsey & Company - The Future of Work Next Generation Automation, March 2017 Generalized within LoB 11

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14 The Business Case for Long Tail Time Business Impact per use Labor Change Mgmt Impact 1 hour of new Productive Capacity (complex processes) 15 min. of new Productive Capacity (simple processes) Frequent use processes generate an average of 3 hours of productive capacity per week 60% less time to develop than custom code or traditional BPM 80% less time to change, update or modify existing processes Forrester Research, October, 2014 Harvard Business Review, December 14, 2015

15 What are my options for solving business challenges with automation solutions? Turnkey / Point Solutions - Fast turn around, expensive, do not scale OOTB tools - Limited agility, can be deprecated, limited feature set, hidden costs Custom Development - Everything you want and or need*, time consuming, expensive, rigid** Online Conference Low Code / No Code Automation Tools - Quick custom turn around, additional cost, scalable, usable by business June 17 th and 18 th 2015

16 Decoding Intelligent Process Automation Technologies (or the difference between BPM, BPA, RPA, and WCA)

17 BPM (Business Process Management) Practice asserts that before any process can be automated, it is necessary to define all of the business processes running inside the domain of endeavor. From this the processes can be re-defined and where necessary optimized, including automation.

18 BPA (Business Process Automation) Approach states that until a process is automated, there is no real value in analyzing and defining it, and that the cycle of business change is so rapid there simply isn t time to define every process before choosing which ones to address with automation, and that delivering immediate benefits creates more value.

19 RPA (Robotic Process Automation) Robotic process automation (RPA) is the application of technology that allows employees in a company to configure computer software or a robot to capture and interpret existing applications for processing a transaction, manipulating data, triggering responses and communicating with other digital systems.

20 WCA (Workflow and Content Automation) An important emerging category that will consolidate the legacy technology markets of Business Process Management (BPM) and Customer Communications Management (CCM) into one.

21 The Automation Marketplace Simple Sophisticated Complex ERP BPM Tribal - Manual processes mostly LoB , SneakerNet, Paper ITSM RPA BPA & Apps IT Department Users/owners Line of business 21

22 The two sides of automation Structured Data Trade clearance Payments Invoicing Unstructured Data CLM Design/Innovation Quote to Cash 22

23 Online Conference June 17 th and 18 th 2015

24 What can I automate? The vertical and the horizontal

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28 INFORMATION TECHNOLOGY Provision User Accounts Help Desk Support IT Asset Management Travel Request Purchase Request Foreign Exchange Transactions FINANCE/ ADMINISTRATION HUMAN RESOURCES On-Boarding or Employee Hiring Vacation or Leave Requests Employee Training Event Planning Proposal Creation Contract Management SALES AND MARKETING OPERATIONS, DELIVERY AND PROCUREMENT Online Conference Help Desk Customer Complaints Product Documentation and Help References CapEx Approval Process New Product Approval Process Quality Assurance June 17 th and 18 th 2015 CUSTOMER SERVICE AND SUPPORT

29 Intelligent Process Automation (IPA) is the key to realizing untapped opportunities in the long tail of automation MANAGED BY IT MANAGED BY LoB or OPs TEAMS WITH LIGHTWEIGHT IT GOVERNANCE Highly Data Transaction specialized & Execution McKinsey & Company - The Future of Work Next Generation Automation, March 2017 Generalized Human Decide, Assess long & tail Escalate 29

30 The future of automation

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32 Stay tuned for more great sessions