Can Help People Actually Use Analytics Tools – Gamification

Description: If you’re trying to use advanced analytics to improve your organization’s decisions, join the club. Most of the companies I talk to are embarked on just such a quest. But it’s a rocky one.

Source: HBR.com

Date: Feb 25, 2015

The technological challenge is hard enough. You have to identify the right data and develop useful tools, such as predictive algorithms. But then comes an even tougher task: getting people to actually use the new tools.

Why is the people factor so important? It’s easy enough to automate routine decisions, such as identifying likely buyers for a product upgrade. But many decisions in today’s knowledge economy depend on expertise and experience. Think of bankers deciding on business loans, product developers determining tradeoffs between features and cost, or B2B sales reps figuring out which prospects to target. Analytics can help codify the logic of the best decision makers, but it can’t replace human judgment.  Read the rest of the Story

Questions for discussion:

1.  Why is the people factor so important in the use of data analytics?  explain

2.  Explain the following statement “Analytics can help codify the logic of the best decision makers”   —- can you think any industries where this holds true?

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122 thoughts on “Can Help People Actually Use Analytics Tools – Gamification

  1. stephen lunn

    Why is the people factor so important in the use of data analytics? explain

    there are many reasons that people factor is important in data analytics. words can have different meanings in different context, experience is also a factor. with out the people factor all you can get is raw data and calculations, while that can aid in the process it can also be fooled if you know what you are doing

    2. Explain the following statement “Analytics can help codify the logic of the best decision makers” —- can you think any industries where this holds true?

    I am running a candy store and it is taking me so much time to program my till. my needs are simple and so are my requirements. with my till came a book of recommended settings and i have already had to re program system settings to make things easy for my self. with that i would say that all industries use data and technology, and while the systems can do a lot of analyzing there are certian things it cant do and so human review is and will be nessasary. like with seasonal items, and sale items, and with productions, and cost changes. computers can make it easier, but the human touch is still needed.

    Reply
  2. Ashley-Raye Miles

    People Importance

    1.The people factor is equally important to data analytics if not more important as data is useless unless it is utilized. There are many articles that state that the majority of change and improvement initiatives fail which are often related to human factors. People bring their bias and own experience to interpretation of data viewing information with their own lens. Data can often be interpreted in favour of the individual and will often be based on what creates the least work, the best individual outcome any other of many factors that are beneficial to the user. I think that implementation of specific decision criteria and frameworks to create decision and interpretation consistency are critical of the proper use of data. Additionally, the culture of an organization can heavily influence how data is utilized. A more aggressive and entrepreneurial environment may reward bold decisions, where a conservative organization may reward more conservative decisions. Use of data can also be heavily influenced by individual behaviour styles. A dominant individual may make a quicker more bold decisions, where a conscientious individual may take more time and analysis to make the decision. There is a huge difference between what people know they should do and what they actually do based on self-interest, laziness, external perceptions and more. Data is a piece, but it need to go hand-in-hand with the people side of things.

    Reply
  3. Brooke Reynolds

    Why is the people factor so important in the use of data analytics? Explain.

    The people factor is the most important asset of data analytics. We allow for emotional intelligence and the understanding of empathy, sarcasm and the interpretation on data. This is a factor that will be very difficult to be replaced by technology. Robots don’t possess human feelings and understanding, and humans are able to apply data analytics much more effectively then machines can. As long the human factor is always being determined and analyzed by a rational person, it will always be from the highest importance.

    Explain the following statement “Analytics can help codify the logic of the best decision makers” – can you think of any industries where this holds true?

    This statement refers to the way in which a decision-making system can be programmed into making accurate decisions based on knowledge that has already been gathered. So basically organizing the data and showing the person how to make the right decision by classifying the decision process and showing the impact each decision can have on the company. The easier that this logic is coded, the more logic that can be coded. Once the information is coded it is easily passed along to another person or computer itself.

    Reply
  4. Kevin Phan

    1) People are so important in the use of analytics because unlike computers, people have instincts; we don’t act accordingly to any system or algorithm. Another reason is that information nowadays depend on experts to analyze them thoroughly and give a well-thought explanation ,and machines can’t do that.

    2) This statement means that with the help of analytics, decision makers find it easier to analyze data and from there make good decisions based on the information given. Companies and analysts need to implement analytics tools effectively in order to outperform competitors and rivals. However, we shouldn’t depend too much on analytics since “it can’t replace human judgement”

    Reply
  5. Bobby Hamilton

    The people factor is so important in the use of data analytics because regardless of how far technology evolves, people will always have valuable judgement to provide based on their experience and expertise. People are the ones that experience and adapt to the ways of our business world. People are the ones provide our artificial intelligence machines to analyze data. The use of artificial intelligence to do jobs like data analysis is necessary in the business world to help with efficiency and effectiveness. A job like data entry is very tedious, with the use of the new analytic tools people are able to maximize potentially wasted time spent on data entry to focus on a different niche in the business world. A computer is capable of completing automate routine decisions, the people factor helps make the best decision with the data at hand.

    The reality of it is that a boss is the one who makes the final decision. The decision is not solely based upon what the new data analysis concludes. I do believe that data analysis will help create more advanced tools and will help decision makers make more informed decisions. Similar to the theme of our group presentation on artificial intelligence, I support the idea that artificial intelligence and human intelligence are two separate subjects that help one another evolve.

    Reply
  6. Tom Urbin-Choffray

    1. Why is the people factor so important in the use of data analytics? Explain
    As far as I know, gamification takes a digital experience on a website or a learning system, and adds games and game elements to make this experience more fun. Analytics deliver valuable insight into metrics on user behaviors and are able to highlight top users, daily activities and users by achievement or level. User can view reports and are fully integrated with company´s software and provide comprehensive social reporting on user behavior or data.
    2. Explain the following statement “Analytics can help codify the logic of the best decision makers” —- can you think any industries where this holds true?
    Online marketing industry might be very good example on use of analytics. Thanks to many tools used by marketing analysts, companies can predict and control users behavior on website.
    With online data analytics and gamification, companies can basically tracking the behavior of someone on a website, and then analyze this behavior. If the person hovers his mouse over a certain part of the screen they can predict where he will click on that spot. Additionally, gamification giving a reward of some sort can get him to click.

    Reply
  7. Miriam

    1. Why is the people factor so important in the use of data analytics? explain
    Data analytics can be assisted by technology, however it cannot be processed completely without the use of the human capital. The use of technology can be extremely beneficial in today’s society but it will never be able to surpass human intelligence. With that said, I think that society needs to be extremely cautious in the sense of having technology taking jobs from the economy. It is important that we don’t get rid of all jobs that can be done by technology as it will harm our economy in the long run.

    2. Explain the following statement “Analytics can help codify the logic of the best decision makers” —- can you think any industries where this holds true?
    In the health care industry, technology can be extremely beneficial. With the integration of technology in the health care industry there has been a lot of improvements in health care.

    In conclusion, I do think that technology is essential in todays society. With such privilege comes responsibility and I think that we need to be aware of the drawbacks of technology.

    Reply
  8. Andrea Stronks

    1. Why is the people factor so important in the use of data analytics?  Explain
    I think from everything I’ve learned so far taking management, I can say that people are not only important, they are the most important asset to a business. Sure artificial intelligence and similar ideas can replace some human aspects of business – cashiers at mcdonald’s for example – but the human component that can think, speak, read body language, speak and listen in different tones, and respond accordingly, will never change. There must always be a top management figure or team that makes the important decisions and makes sure that the machines that a company may have doing this type of work are running smoothly.
    2.  Explain the following statement “Analytics can help codify the logic of the best decision makers”   —- can you think any industries where this holds true?
    I think that in some areas where certain decisions have been made by humans for so long, analytics are now being taught to do the same and are perhaps exceeding the accuracy of humans. For example, getting an insurance or mortgage quote is something you can do from your bed in your pj’s, where before one would have to go to the physical building and have someone figure the numbers out and tell you your quote. Another example of this would be using google maps in your car now instead of having to figure out the shortest route with a map- the analytics can exceed the human element in some areas, but humans will always be needed: to program and run the software.

    Reply
  9. Julian Atkinson

    1. Why is the people factor so important in the use of data analytics? Explain
    People factors are important factors because people are ultimately the primary users. People use the data analytics to make a decision but it can not replace human mind at all. However, with how quickly and accurately robots are advancing in today’s modern age, they will soon be able to take over human decision making. But as of right now, technology cannot predict the future success or problems of a company as well as people can because people examine and can plan out every single detail. Analytical tools are supposed to be helpful and useful and once implemented can help any company become more efficient. When combined with human brainpower and human’s personal opinions, knowledge and experiences, decision-making may be increasingly easier and incredibly powerful.

    Reply
  10. Shelby Barrus

    I think people are still a huge contributor regarding the use of data analytics. No matter how far technology grows and develops, I think there will always be a need for human contribution. However, the number of people needed might decrease through these expansions, but the need while always be there. They are needed to carry out the initial stages of the application or device, the maintenance, as well as, the manipulating of any specific variations needed to carry out the task. At this point in time, with technology constantly growing and changing it is hard to create a single system capable of keeping up with the growing expectations. Therefore, knowledgeable professionals would also be needed to interpret and analyze the data collected for use. In addition to this, I do not think people are ready to put their trust into technology, especially where big and important decisions are to be made. People are still very important when it comes to making use of the information collected through these data generators. Putting this information to use, companies can make improvements and adjustments to better their service, procedures, and products. Although technology has come a long way, I do not think we are at the stage of completely letting go of the people factor in today’s computer and data industry.

    Reply
  11. Joan G.

    1. Why is the people factor so important in the use of data analytics? Explain.
    People factor is important in the use of data analytics because people are the ones who created algorithms on computers in order for computers to see patterns and collect data with compile it with same category. Also even though there are tools to help with decision-making, people expertise and experience is still important because computers and robots does not have the ability to decide whether the decision is the right decision for the company to implement with the situation they have right now. And computer and robots lacks of human judgment can play an important role that the right decision is made. Computers are good with standardized activities, but in the end if there are complication we still need the human expertise and experience to make the right call.

    2. Explain the following statement “Analytics can help codify the logic of the best decision makers” can you think any industries where this holds true?
    In my opinion the statement means that the logic of the best decision maker can be codify with help of analytics, or in other words the logic of decision maker can be make into an algorithms. These will work in an industry where there are only limited or pretty basic decision making is required.

    Reply
  12. Brian Kemp

    1. The people factor is important in the use of data analytics because machines do not (not yet anyways) have the capability to go beyond the set of instructions that they are given. Although they can provide us with the most complicated analysis of any given set of rules or instructions they cannot for eg tell you that a new product launching by a different corporation will have a complimentary effect on your products sales or a negative one. Human intuition and ability to look beyond the statistics is what makes them the keystone for data analytics.
    2. Analytics helps decision makers by providing them with the best information set for making decisions. While it might take an individual person years to come up with the sorts of graphs and statistics that can help make decisions, analytics makes that all possible in a fraction of the time. For example a CEO at a top industrial firm could use analytics to spit out thousands of statistics on set locations for a new factory. While the ceo might have already had a location in mind the data provided to him may change his decision. One location might be more optimal for several scenarios that the CEO had overlooked and at the same time he may not chose the top suggested location by the computer because of reasons the computer cannot simply comprehend.

    Reply
  13. Mia Cartwright

    1. Why is the people factor so important in the use of data analytics? explain
    The people factor is so important in the use of data analytics because nothing can replace human judgment. “If decision makers aren’t willing to experiment with the tool and improve their outcomes over time, then your investment in the technology is wasted.” This key phrase is saying that if people aren’t going to take their time and experiment the product, it is going to fail in the market place. They mention the “power of the user” as being the co-creator of data analytics. Human judgment is vital because you will never be able to replace human intelligence with data analytics. You will always need that human judgment in the end the make the final judgment call.
    2. Explain the following statement “Analytics can help codify the logic of the best decision makers” —- can you think any industries where this holds true?
    In a 911 situation when the response team has to enter in a code to determine the best situation for the dispatch team would be an example of when codifying logic into a decision would be critical. It is important in many situations.

    Reply
  14. Daniel Rottger

    1. Why is the people factor so important in the use of data analytics? explain
    The people factor is so important in data analytics because of our natural ability to interpret information, recognize patterns, and develop a rational explanation of the results. This is the essential trait that distinguishes us from IT systems. While development of intelligent technology is working towards AI systems that can simulate human behavior, there are still many aspects of our cognitive function that distinguish us from the robots. This idea of gamification is an interesting take on these modern issues. As humans, we tend to crave some sort of achievement and reward whether it be in work, sport, academics, or even leisure. I think that this approach, applied in the right way could be a very effective way of increasing production in the workplace. Tasks and challenges need to be carefully thought out in order to produce enough difficulty to challenge employees, but all goals need to be realizable and achievable as not to discourage progress.

    Reply
  15. Kirstie

    1. Why is the people factor so important in the use of data analytics? explain
    Aside from the fact that they are the primary users of data, people mainly rely on experience and expertise which robots cannot provide to consumers. also, tools can never replace human intelligence. There are also specific tasks that computers and robots cannot do by themselves. The human intelligence still has decision making expertise data analytics that couldn’t be replaced but they can help humans be more aware of the decisions they are making when they are used to help find relevant information needed in the long process.

    2. Explain the following statement “Analytics can help codify the logic of the best decision makers” —- can you think any industries where this holds true?
    To be successful, advanced analytics initiatives require a new project delivery approach that is akin to a scientific discovery, where an iterative, exploratory process is used to determine and implement the best possible analytics solution. For example, a recent IBM client described its goals as reduced power usage (which was the primary operating cost component) and fewer quality-related charges. Having clear and financially quantifiable objectives, the team made effective modeling design decisions while abandoning or trading off lower-level objectives that impeded the overall goal. The financial nature of targeted benefits have also allowed quick “go/no-go” decisions when assessing the benefits of model changes versus the costs of making them. It is also helpful to start with a simple model and continue enhancing the algorithms in iterative cycles to deliver increasingly valuable analytical capabilities, in a manner similar to agile development methodology. We know from extensive research that decisions matter. Companies that make better decisions, that make them faster, and that implement them effectively turn in better financial performance than their rivals and peers. Focused application of analytic tools can
    help companies make better, quicker decisions— particularly in that broad middle range—and improvetheir performance accordingly.

    Reply
  16. Amanda Oler

    People are very important in the use of data analytics, because as of now, information systems do not have intuition or “gut feelings” about data analysis and decision making. This is why humans are needed to analyze data on more of a personal scale then computers have the capability of doing. Honestly, I feel like with the advancement of technology, the role of humans will not have as important role in data analytics, since I believe more human like features will be developed in operating systems and artificial intelligence will evolve to include humanlike rationale.

    This means that data analysis can be incorporated and can accomplish the same results as successful decision makers do. This can help in industries where human error occurs. The finance industry I believe can be one of the best industries for this to be incorporated in , since many financial decisions can be made off of mathematical basis and do not require to much human involvement. This may also decrease the amount of profit driven crime, since sometimes decisions are often conflicted with human greed in the financial industry. I think if decisions are being made in financial institutions, by technology , rather than humans, there will be a decrease in criminal activity and less human error.

    Reply
    1. Gray.yu

      1. Why is the people factor so important in the use of data analytics? explain
      As the writer siad “But many decisions in today’s knowledge economy depend on expertise and experience.” There are many decishion can’t be made automated. We have learned that there are three kinds of decisions in a organization, structured decisions, semistructured decisions and unstructured decisions. The first two ban be decided automated, but unstructured decisions can’t. Because they are unique, and they dont rely on standard operating procedure. Computer can’t think like people, the dont have emotion and experience, so they can make dicisions like a humen some times.
      2. Explain the following statement “Analytics can help codify the logic of the best decision makers” —- can you think any industries where this holds true?
      I know that this technology was applied to utility industry. Computers collect online monitoring data,on the basis of the perception of power system state. And then they are able to make the control strategy to make the system stable running. When the power plants malfunction, computers will collect the alarm information, analyze the information, and then provide the instructions for how to handle the probems to recovery program.

      Reply

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