Technology

Usually technology decisions are made based on a vendor controlled sales demonstrations and then the “shiny object’ syndrome comes into play when demo’s precede following a logical flow of a P5TA-like methodology. Inevitably, there will be unknowns that are unknown when this methodology, or like methodology, is not followed. You won’t know whether the technology of the vendor can actually solve 80-90%+ of your key pain points. Most companies I have found, do not go through a thorough vendor evaluation process to make a critical business decision either.

Same old adage of why you never go grocery shopping when you are hungry, and especially without a shopping list of what you are looking for. Before you shop there are a series of things you need to know, like; do you have health issues, are you on a special diet, on an exercise program, or have any food allergies, and the like.

You get my point. Technology needs to be preceded in this sequence by a solid understanding of how these all work together and in this specific sequence -> Planning, People, Programs, Policies, Processes and predesigned expectations of how you are going to measure success of all of these things real-time by your analytics. P5TA

Just how complex is the Talent Technology ecosystem?

Our friends at Talent Tech Labs put the below reports out annually for technology consumers. It helps with making tech decisions but also shows us just how complex making a decision can be based on massive choices. Knowing full well that technology is so fragmented and vendors are a long way way off to bring value to the market in terms of consolidation and more user friendly platforms to increase adoption, decrease complexities in integrations, and increase real-time insights from analytics. We provide guidance on navigating through this large moving target of technology to increase your success rate and ROI through selection, configuration, deployment, and setting up ongoing performance monitoring KPI’s and SLA’s.

Question 1: Do you need all the technology in your tech stack?

Question 2: Is there redundancy in your tech that creates data challenges or correct user adoption?

Question 3: Do you find on average you are keeping technology for less than 2 years before changing it out again?

Question 4: Is your tech stack made up of 7-10+ pieces of technology that don’t integrate well, or at all?

Question 5: Having trouble with adoption on specific technology?

Question 6: Is your annual technology budget fixed or somewhat flexible? How flexible is your tech spend?

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Analytics