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hrtech

HR Innovation Failure. Who Forgot About the Documents!

Whilst the effectiveness of the process and user interface of the new Human Capital Management (HCM) Systems are impressive there is one area in HR that has been forgotten, and there is little we can do to get away from it.  One area I am always busy working on and improving is documentation!

The documentation in HR is kind of insane!  There are the: offer letters, contracts, employee data changes where legal documents are required, leavers documentation etc.  Each document requires data collection of both what is global and local data.  Data that needs to be collected and stored in the Global HR system, and data that is only needed for local systems e.g. for payroll or legal requirements.

Just take Russia where you have for example a Global Workday, but also C1 there are circa 26 additional local data fields to collect for a New Hire to become and employee.

The HCM systems that are being implemented have pros and cons in regards of their ability to deal with global and local data. However, none resolve the documentation challenge.  There are two contenders HotDocs and Escriba that integrate well with both SuccessFactors and Workday and resolve the following problem:

  1. Data reading from systems such as e.g. Taleo, SuccessFactors or Workday
  2. Collection of global and local data if outside of the system e.g. in recruitment
  3. Data validation to reduce down stream errors e.g. special characters
  4. Automate generation of a compliant, consistent and correct document 
  5. Effective dissemination for approval
  6. Effective retrieval of the document via electronic signature
  7. Write capability of taking the data collected to the HCM

When you consider the process, also consider the documents.  This will be an area of experience and effectiveness that can be greatly improved and more innovation is to come in the future to change the face of HR ;).

 

 

 

4 Digital Profiles - Do You Recognise Them and Where Do You Want To Be?

 

Capgemini's research with MIT identified four different types of digital profile.

  1. Digirati
  2. Fashionista
  3. Beginners
  4. Conservatives

The four types of profile, have different appetites for digital technology, and a different alignment to the business strategy and goals.  Working with clients I see this in daily life where there is just not the appetite to leverage technology and transform.   The digital transformation may make strategic sense, but due to a conservative mindset, politics or silo's the business case is ultimately impacted.

Capgemini's digital research with MIT is useful is to use.   It helps companies to understand where they themselves, and where they want to be, and in quantitative terms play back the financial research on revenue and margin.

  1. Digirati's adopt technologies that align to the business goals.  Research on this group  showed:
    • Companies with a stronger digital intensity had 9% higher revenue 
    • Companies with strong transformation management 26% higher profits
  2. Fashionista strong on digital, but weak on transformation and alignment to the business:
    • Companies with a stronger digital intensity had 6% higher revenue 
    • Companies with lower transformation management -11% profit
  3. Beginners have an appetite for digital, but organisation silo's and legacy systems make it hard to make a transformational impact on the business:
    • Companies with some digital intensity had -4% revenue 
    • Companies with lower transformation management -24% profit
  4. Conservatives no to low appetite for digital, or have significant bureaucracy that impacts digital transformation:
    • Companies with a lower digital intensity had -10% revenue 
    • Companies with lower transformation management 9% higher profit

The research provides insight of barriers, and what needs to be addressed in digital transformation.  The transformation journey in a insurance company may for example be different, in order to gain buy in of an organisation entity, and adoption. A different approach would be appropriate for a Digirati in the hospitality or tech industry.

Digital and Transformation go together and this insight provides insight, SO WHAT:

  • Which are you?
  • Where do you want to be?
  • What is the right approach for adoption?

The Robots - Like The Boyfriend Who Doesn't Quite Cut it as Marriage Material

Typically in the Enterprise Innovation I work with two types of Robots 

Two types of robots #structured and #unstructured - I would marry neither ;)

Two types of robots #structured and #unstructured - I would marry neither ;)

 

1. Robots that a simple and only do and see exactly what I tell or show them.  Structured to structured data.

2. Robots that can learn and adapt, so I can show them something but they might just take 4 or 5 times to learn how to do the job. Unstructured to Structured Data.

Frankly, way back when I was a teenager I would accept that kind of man because well, you felt just being with someone was better than being alone, and you did not know any different.  In reality you wanted a partner who would grow with you and make you stronger, and in essence needed to be a bit more clever.  

In robotics, we are not quiet there yet, however, in the the business process world I wanted to use that analogy so we understood the big strides that are coming.

Levels 0, 1, 2 and 3

0. Level 0: Don't speed up a bad or ineffective process Eliminate and Optimise first

First before we even get to robotics, actually it is the last resort!

  • If we can eliminate wasteful processes and unnecessary tasks then we should do so.  We may even be able to optimise and automate what we already have.  The amount of systems I have seen where clients are not even leveraging the true potential is fascinating, and of course then we help them.
  • In HR even SuccessFactors and Workday require Organisation Change Management (OCM).  To leverage the connected power of Human Capital Management (HCM) systems, the content and integration needs to be there.  For example, if the manager wants to click on a potential person he or she can contact for a project or succession, then there needs to be integration with the global directory and telecoms infrastructure and in a global company there may be more than one provide.

Second example, if true power of the people is to be developed and unleashed then the following dimensions need to be part of the change, but are often underestimated or just technology led:

  • Performance definition
  • Potential definition
  • Job families
  • Goals
  • Competencies mapped to their dependencies e.g. job families
  • Learning content mapped to their dependencies e.g. goals, job families and competencies
  • Experience and exposure channels enabled to include mentoring and coaching across High Potentials

1. Level 1:  Structure to Structure data (The guy perhaps I Stayed friends with but I was never going to marry)

In HRO I am often looking at uipath robots to take structured data from an online form into the HCM system where the full suite for Success Factors or Workday is not applied, there is a local process outside the legal requirements or administration of tasks such as training administration.  Here again there may be an opportunity to leverage automation first e.g.:

  • I look at SAP SuccessFactors extensions as if it were my apple developer account, and look at if it makes business sense to automate that process, and applicability perhaps on a wider scale.
  • I look at integrations of automation in processes that take significant effort and have high volume and effort, but also localisation e.g. Time and Attendance with Kronos and Workforce.
  • I look at strategic importance of the employees, like contingent workers, which is an increasing footprint of employment, with app extensions like 'Enterprise Jungle.'
  • The good thing about SAP SuccessFactors is that by Q4 2017 it will have mapped 80 local country requirements in HR.  That enables the ability to standardise across large global organisations.

2. Level 2. Unstructured Data (The guy I thought was great, but not really as he never really grew me)

This kind of robot fulfils further needs.  So for example in a HR context:

  1. Complex terms and conditions that mean in a large organisation there are multiple formats.  This robot can sort and categorise data to make efficiency gains at the top end of the process, and speed up down stream processes later on.
  2. Invoices that are in multiple formats.  HR often handles a lot of vendors due to the invoices related to people.  It looks to understand the data and learn from it's mistakes

3. Level 3: Interpret, Dialogue, Probe, Make Decisions and Apply Intelligence (The guy I ended up marrying)

This kind of robot I have not seen in the HRO space yet.  We are making advances in Artificial Intelligence, chat bots, block chain, we chat (huge in APAC and already looking at in my uni project) and ITTT (If This Then That).  In my doctorate I have been experimenting with ITTT (If This Then That) technology in the Business to Consumer Space and applying it straight to an automation logic, but in the HR space this is where I am feeding my thinking through to new projects.  Currently, I am working on to 'Re Imagine HR.'

I am blessed to work for a truly innovative company that is pushing the boundaries and bringing innovation from the Business to Consumer and Business to Business arena to Business to Employees.

If anyone has experience and or exposure to their development into the third phase I would be excited to hear more.

 

 

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