Gamification Can Help People Actually Use Analytics Tools

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

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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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87 thoughts on “Gamification Can Help People Actually Use Analytics Tools

  1. Senura suduweli

    Gamification is a special way that is combining data analytics and human factor. The tech world is changing and evolving every second and it is difficult to keep up with. But with gamifications strategy it is made easier for humans adapt the evolving technology. The human factor is very important when in comes to data analytics, this is because without human interaction there would be no errors found. Data analytics will not be able to be interpreted properly and cannot be justified. When making decisions it is difficult to rely on data analytics and it is mostly depended on the human factor. Analytics can help things make easier for the human factor to make decisions. With human factor combined with data analytics we are presented with more productive work environments.
    What is said by the following sentence is that analytics can lead to and help decision makers make very important decision. We cannot depend on the analytics to give us the clear-cut answer to everything. Their human factor comes in to play by using good judgment to make the best decisions. Some situations where an ethical issue rises within decisions, data analytics cannot come in to play. Data analytics will give us the best decisions according to trends and past records. When an ethical issue rises we have to rely heavily on the human factor. We cannot always trust the data given to us. With the human factor involved we can do research to make sure the data that we are given to is correct.

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  2. Ashley

    The people factor is so important in the use of data analytic because no matter how much data is collected and organized by computers there still needs to be a human element. Humans need to be able to understand the coding, symbols and reasons behind the information to ultimately make the final decision when the process is over. A computer can give you all the data you want but they cant decided what the outcome of that information is going to be. It is also important that the people that are going to be using the data are the right people for the job. The article talks about training an learning from the data once it is provided. If a person is making the final decision but does not have the knowledge to understand the data that will result in another kind of problem.

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  3. Shiqi Wang

    Nowadays, information system becomes more and more important in people’s daily life. Technology help us to make decision more accurately and analytic give us the fact in more efficient way. Data analytic can produce information but for making decision humans are playing a very important role. The statement “Analytics can help codify the logic of the best decision makers” translates into the fact that the programmed decision making algorithms and their programmers are capable of aiding in the process analytic decision-making. Examples given in the article include a banker deciding on business loans, tradeoffs between features and costs and B2B sales reps deciding which prospects to target. These examples all highlight qualitative factors that are hard to input as data for computers to process. A bio-metric passport reader for example is now installed at Heathrow airport in London. Passengers just simply scanned their passport and face a camera which has a photo recognition technology to determine whether the photo matches with you. Often people must search out the little anomaly and see where more data can be gathered. Many decisions rely on expertise and experience. Human judgment can decode the data and bring the little extras to the table that the machines may have missed. Management must also rely on personal experience and expertise instead of solely the trends spit out of a computer algorithm. And by using machines to imitate best human practice, you have changed the use of human capital and the decision process can lead to better and precise results.

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  4. Anish Singh

    In today’s advanced world where we are generating massive amounts of data every moment, it would definitely not be possible for humans to handle or analyze something that big. Well, thanks to super computers and recent technological advances that we are now able to analyze, arrange and make complex data look meaningful in a matter of minutes but there is still something which our systems are not fully mature or developed to do: Decision Making. When it comes to decision making, we still rely upon humans as we know there are no better decision makers than humans themselves when it comes to ethics, finances or a simple trade off.
    Analytics can definitely support and improve decision making but cannot always make reliable decisions in interest of the society and hence, we need humans to do this. Also, to develop these tools we need humans to experiment and interact with them to enhance their performance and get better results. Like in the Pharmaceutical industry, there might be situations where companies involved in clinical trials or research could decrease the amount of time required for the drug to be ready to hit the market by choosing certain subjects to experiment on. Now, this would be more of an ethical decision and not decision can definitely not be based on analysis of what happened in the past or what’s projected to happen based on the trends. Hence, the statement “Analytics can help codify the logic of the best decision makers” tells us that BA tools can help us when we are making decisions by analyzing the logic used in the best judgments in the past and make a suggestion about future but can’t definitely choose what’s ultimately good for us.

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  5. Hailly

    The people factor is important because without human interpretation and creativity there would be no room for improvement or development. Data analytics would not be able to be interpreted without the human aspect. Human intuition is something that is not able to be written into a code and interpreted the same among each individual.
    I think the the statement is partially right. I can help is the main part of the sentence. It is only a tool that people can either choose to use or not. In using data analytics it is highly probable that you are going to come up with a better/quicker answer than others just brain storming. An industry just like the one in the example, an insurance company, that put money into a program in order to specifically give results that have been ran to the point where they are correct enough to make a program. This output information is only useful if you have a team that interprets and utilizes the data with respect to the end goal of the firm. A worker has to have the background training of what the output results mean in order to do anything and recommend advice. Obviously some employees created this software for a reason but the other half of the step in implementing the technology would be to make sure people are using it to benefit the company and their customers.

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  6. Ayesha S

    Gamification is a special way to bring the analytic and human factor together. Technology and the gaming like work systems will have the tendency to keep workers busy and amused. It will be a valuable resource for the company to strive. Technology is changing and we are changing and growing along with it. Our ideas of entertainment, work and productivity will never be the same as before. We need to keep up with the technology so we can manage to strive as employees along with the company. People learn many things through gaming and entertainment. We learn collaboration and team work very thoroughly. We also connect with people on different levels. In the growing era of technology, we use so many other applications we never thought we could use before. Such as social networking (Facebook, Skype, Twitter, Pinterest etc.). Why can we not use gaming too? There are hinders, quests, teamwork, planning and strategic thinking required in a game. Is that also not required in management? And just think, if boredom occurs, people can then use the different resources provided such as gaming as an alternative for finding something to do. Games can be played differently each time. It will keep the employee’s occupied while at work. Not only would that benefit the company, but time management will be taught by the gaming analytics as well.

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  7. Mike Forsyth

    The people factor is so important in the use of data analytics because there has to be a human factor amongst these programs to give them a purpose. like it says in the article people have teenagers and those teenagers spend countless hours trying to beat their favorite game. yes a computer or software machine builds the game and provides the technology for it to work but its game designers and game testers that make the game what it is. they create the levels or maps, characters, storylines and graphics. they are able to make the game relative to the certain market that they are trying to sell to. machines cant do that because they have no human qualities. the hard part is finding certified people of this nature to successfully be able to understand and operate these analytical data programs. with the rapid advancement of these data systems it is becoming harder and harder for humans to understand how these machines work. we are feeling less and less apart of the decision making processes of these systems. ultimately the software is going to make the decision with the highest probability of success.

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  8. Guillaume

    We still need the people factor in the data analytics because decisions in today’s economy still depends on human experience and expertise. Computers are able to do advanced research with different information systems, but they do not process a brain to take the ultimate best decision. I believe we will always need the “people factor” in data analytics because we get better data with every new information system but we still need someone to interpret them in order to take the best decision possible. Machines can still have a virus or a problem where the outcome could be totally wrong. We still need machines to help us take the best decision possible since they can gather way more information than any human could physically assemble. The information systems help the managers knowing exactly what is going on. But in the end we need the human instinct, perception and gut feeling in order to be successful.

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  9. Xuan Weno

    It is hard to use advanced analytic to improve your organization’s decisions due to the technological challenge. It is also hard to identify the right data and develop useful tools. People factors is important because it is easy enough to automate routine decisions such as identifying likely buyers for a product upgrade. Unfortunately, many decisions in today’s knowledge depend on expertise and experience. The development of tools can be very complex. The investment in the technology may be wasted I decision makes are not willing to experiment with the tool. Fortunately, gamification can help people use analytical tools. Gamification means using motivational technique like those the video game industry has put to such effective use. Gamification seems to hold a lot of potential. Gamification is the new generation tool for helping analyze data. The tool allows underwriters to run a prospective insured’a properties through a special risk model which improve the process speed. The tool helps company reduce lots of money for each year. Team’s decision were rated by their peers and by independent judges. Teams that not only interpreted the result correctly but also identified a need for additional information. Finally, gamification have the potential to become one of the most useful tool for analytical in the future.

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  10. Brady T

    The people factor is important in data analytics because people are used to measure the data against other sets of data and determine its usefulness and where and when it would be used best. If a company determines that of their 1,000,000 customers buy their products, and of that 1,000,000 people, 650,000 of them are between the ages of 18 and 40, if there is no one to analyze the data and determine how it can best be used, then all the data becomes is numbers that are useless to the company and they have now wasted resources and time compiling useless statistics.
    The statement “analytics can help codify the logic of the best decision makers” means that by using analytics, a person or company can justify their thinking process behind why they made the decision that they did. Knowing the why can lead to other or better decisions in the future based on the results of the first decision. Say a company makes decision A using criteria #1. They can then analyze the results of that decision and the next time they have to make the same or similar decision, they know if the criteria used to make decision A was good and to use the same criteria again, or if the criteria was bad and they need to use a different set of criteria. A good example of an industry using analytics to make decisions is Baseball. With the use of statistics and the rise of advanced statistics, a manager or general manager can see who performs well against certain players or in specific situations and who doesn’t do well, then using that information they can trade for a player who does, or bring in a relief pitcher or pinch hit for another player.

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  11. Jacob Rutgers

    The so-called people factor is so important in analytics for a few reasons. Today’s technology systems can provide knowledge like never before. This information makes the decision making process take a more effectively, risk-controlled route much of them time. Despite this new found opportunity, there is still a human factor to making the decision. The ability to interpret the information provided into real-world implications, having the ability to use the technology to conjure up the information (inputs, outputs), and the training that goes along with these abilities. This is where gamification of analytics takes aim. Motivational techniques used so successfully by the video game industry, have managers in many other major industries attempting to understand and replicate. The realization surfaces that the motivational success is coming from basic human drives: autonomy, mastery, and having a clear goal.
    A personal example would be in one of my finance classes in which we were competing against each other in stock trading simulations. We would be partially graded on our results in relation to each other. Having been encouraged to benefit from collaboration amongst other students, we had achieved those three motivations mentioned earlier (autonomy, mastery, clear goal) with the use of new software. In my opinion it was the only way to really apply the software in a fun, rewarding, and social way which really maximized my understanding and experience.
    Also my cousin who works in IT for the Calgary hospital has mentioned some of the same types of training for analytics. (Note he works for the city, so it is not just the private sector looking into these techniques)

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  12. Chelsey Brown

    We are aware that analytics have capabilities to process information faster than a human could ever strive to make decision making easier and faster. However as the saying goes it can be argued that a computer is only as start as the person operating it. There is a large gap between the information a computer can generate and how the information is applicable. After the realization that computer application and system are become so advanced it has the potential to render some previously “human” positional obsolete the question of how valuable are skills such as accounting going to be. If in the future all relevant data can inputted and a computer will generate all accounting information where does the “people factor” come into play? As this article touches on and as I believe the importance of the “people factor” will only increase as computers assume larger roles in order to better understand more complex decision because information is no replacement for experience.
    This ties in with the statement “analytics can help codify the logic of the best decision maker” analytics increases decision making power and may present better alternatives but it is only a tool to be used in combination with the “people factor”.
    The in class presentation today highlighted a particular technology that could use gamification to create and develop real life skills with maintaining a safe distance and creating a “fun” environment- that is virtual reality. This technology, along with gamification provides a multitude of benefits including new incentives, the ability to work at difference paces and practice free from risk.

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  13. Jaime Zachery

    The people factor is important in the use of data analytics because a lot of decisions in the modern knowledge economy depend on a person’s expertise and experience. The article states “Analytics can help codify the log if the best decision makers, but it can’t replace human judgment”. Although technology can provide us with assistance and critical information for decision making, people ultimately make the decision.

    Gamification is the use of motivational techniques that tap into the basic human drives. I think gamification is a useful tool to use to encourage employees to learn and implement new technologies and software. Although there are a few negatives to gamification, competition and incentives have often proven to be successful in the process of training to mastery.

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  14. tjorge2015

    Raw data as a whole can be over-cumbersome to the average individual. However, when applied with the expertise and foreknowledge of a professional, data can be a powerful asset that can a company can use to effectively manage its product/company. The people factor is important in implementing the data to be interpreted and applied to develop growth within the company. When poorly applied the large data sets are essentially worthless. In the article it discussed how data writers are not using the software to its fullest potential which intern is a waste of company finance. Essentially, the employees are poorly applying the data they are presented with and ignoring the immense scope and power that it can bring the company.
    This is where gamification can bring more rewards than risks. If the software is still in early phases and is not getting the attention that it needs to be fully applied then it would not be as big of a loss if they attempted to apply some sort of gaming reward system. If anything this would motivate employees to utilize the company asset to the fullest degree while maintaining a high productivity level.

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  15. Arty K

    People factor is important for several reasons. First of all, even though some people are creatures of habit, the others could be very unorthodox. People make random decisions relying of factors such as their “gut feel”, or their “zodiac’s sign horoscope”. It is important to understand all different kinds of people and their decision making process to fully implement the automated analysis system. And of course second of all, to implement it, people need to trust that it works, they need to believe that they can get better at it, and that while using the new system they would be a part of a “community”. Some people would be reluctant to use the system, “if it ain’t broken don’t fix it” kinds of people. However for a system to be implemented and at a full flight, companies need “if we don’t develop something new, it will be broken soon” kinds of people, and it takes time for people to get there, while adjusting to a new reality that automated analytic systems are here to stay.

    “Analytics helps codify logic of the best decision makers”, this means that even the best decisions had to have a reason behind them. That those decision makers analyzed certain points, looked at certain places, and saw certain things before they made that decisions. Analytics can help identify the path they traveled to get there and make sense out of it for other people. This saying also means that even thought analytic systems can help people in their decision making, that they can’t replace human brain. Automated systems simply wouldn’t have things such as “awareness”,”instinct”,”perception” to affect their decision, and those things are crucial for people’s decision making. Analytic systems cant replace people, but they can make sure that people are better prepared to face tougher problems and respond in a better way.

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  16. Ann Shea

    In data analytics organizations must be knowledgeable when trying to work with advanced analytics. It is a challenging and complex field, therefore the people factor is so important to the process of developing new technology for an organization because no matter how advanced their algorithms are now an organization needs to figure out how to get people to use them. Many of the important decisions that need to be made should be done so by people with the expertise and experience and who have the ability to use their “gut” to make the appropriate decisions. If these people were not experimenting in the attempt to improve a system then the investment in a new technology could fail and therefore a waste of time.
    The statement “Analytics can help codify the logic of the best decision makers” means that analytics can help anticipate the potential outcomes of human actions that can be expected. This refers to the basic human desires for autonomy, mastering something, and obtaining a sense of purpose. The article uses the example of gamers competing with each other in order to increase their gaming skills, and that they observe what another gamer is doing in a game which could help them be better in the future, in other words they are learning from each other while in competition. Two major rivals who are forever in competition with each other are Pepsi and Coke, maybe these two mega giants would not be so successful if they didn’t have such an advertisement rivalry.

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  17. Riley Smith

    The people factor in data analytics is very important. When analyzing data human factors help make better business decisions. With the right people analyzing the data that is produced it can really benefit companies in making future decisions. “The human Element” cannot be applied to computers, which sometimes is very important in making decisions. Gamification is a very good idea in order to train employees to make these decision. It helps make it fun environment for the employees to learn new skills. It also brings a sense of achievement to the employees when this is fulfilled.
    The following statement “analytics can help codify the logic of the best decision makers” is very accurate because the data produced is from past data and can be a reliable source for future decisions.

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  18. Skylar Edmonds

    The people factor is s important for the use of data analytics due to the reason that it is not possible to add the human element to any type of programming. In the analytics of raw data, the individuals discover the most useful information that is critical to the organization, and also the decision in which the organization is heading towards. Essentially, data analytics can go in any direction it wants but in the end there needs to be human intuition and emotions, only things that humans can do. As an individual you must take into account the data at hand, and then reflect on it to how important and significant it will be to the decision at hand. Machines still have the tendency to make mistakes meaning that we should not trust that they can double check all tests and products that are being produced. Throughout the article it brings up how humans can understand the data that is being presented and how it is used. This can be dealt with by training, and the addition of competition. Humans can be more motivated if there is a competition that is involved. Since society is changing and constantly evolving, computers are becoming a more and more significant part of our daily lives, and its becoming harder for humans to realize that they still do have the final decision.

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  19. Kristin Kobbert

    Data analytics help make decision making easy. They can process high volumes of information faster, while still maintaining quality. The “people factor” of data analytics is important, because there still needs to be an aspect of human judgment in the process. In order for the analytics to work the people using them need to be trained, which can sometimes be complex and time consuming. Some companies have used gamification to encourage their employees to learn how to use analytic tools. Motivating employees to learn through a game helps make the learning process exciting and collaborative. As a group of employees completes a task they receive the same gratification that mastering a level in game grants.
    The statement “analytics can help codify the logic of the best decision makers” means that it assists in the work that the people do. It takes into account all of the factors and can help decision makers understand all the aspects to make an informed decision. I think we see just how useful analytics are in industries such as retail. A data analytic system can help manage all aspects of the value chain, from decisions about production materials to distributive methods. It provides alternatives from real data that can help make the most appropriate decision for the company.

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  20. Jordan M

    The people factor is important to the use of data analytic because it is not possible to add the human element to any type of programming. Data analytics can go to certain lengths in different situations but in the end you need human intuition and experience when making important decisions. Data can only give you the raw hard facts but humans have the ability to look at the date in different perspectives and take into account different emotions and things that only humans can do. You should never just take into account the date presented, nor should you just trust human intellect to make a big decision. As human you must look to see how accurate the data is, in relation to the decision at hand. Machines are still at risk to make mistakes and we should not just trust that they are right and should always double-check the results. Within the article it presents the issue of how do you get humans to understand the data and use it. This can easily be dealt with new training methods for those using the data and with the addition of competition, humans find themselves more motivated to learn and use the data in the company. Motivation and drive to better one’s self can only come from humans and cannot be duplicated by a machine. The machine was originally created to be a tool in making decisions and not to use to make the decision. Because of the way society is changing and constantly evolving, computers are becoming more apart of our day-to-day lives and it is easy to lose sight of the idea that we, the humans are in charge of the final decision.

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  21. Chelsea

    While technology has made more information available to businesses they must not forget about the human element in any situation. Technology can only go so far in helping organizations. Data analytics can make decisions based on pre-determined algorithms, but these tools should not be used to replace human judgment. Past personal experiment as well as expertise of individuals should be used to implement any ideas. Experts can help decode data and make decisions on what is accurate and important to use in their organizations. Many also rely on a “gut instinct” to make certain decisions that can’t be made by relying solely on data analytics. A breakdown in systems and error can occur so the human element can help to overlook and change any information that might not necessarily be imperative to decisions. However, humans make errors as well that is why by using these two elements together it leads to better decision making.
    When the author says “Analytics can help codify the logic of the best decision makers”, I consider this to be quite accurate. It shouldn’t be used to replace employees or experts who usually make such decisions, instead it should be used as a tool to assist is decision making. I think that this means that such software can organize data in a way that allows experts to be able to draw the right conclusions. Also, I believe that employees who understand their company can make the proper decisions based on what they believe will work in their field based on their past experience.

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  22. kevin lim

    analyzing data can only go so far, you need human experience when making important decisions, sure a computer can compute what it thinks the best descision is, but in the end you still need a person to finalize anything. but how do you get people to understand the data provided and for them to make use of it. computers and technology can decipher the data given, but it is the person behind the computer that chooses what to do with it. with all the automation in industries its hard to remember the human side sometimes

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  23. James Bradshaw

    Using advanced analytical tools the people factor is crucial because this is where the information comes from and is essentially used for once analyzed. The raw data gained from the people factor allows many conclusions to be drawn from the information gathered by certain information systems. The analysis allows companies and organizations make better business decisions using the people factor. Allowing science to prove or disprove existing models and/or theories. As the article says “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.” In business money is a key factor when deciding if something is worthwhile and beneficial to what the company is trying to achieve.
    “Analytics can help codify the logic of the best decision makers” because the people factor is what determines if the decision makers policies are accurate and provide the best possible outcome for the goals of the company. The factors outlined in the article show that to encourage people to invest the time and learn how to use the new tools. If the decision makers are able to control their own pace for learning, they will get better over time and will ultimately achieve a defined goal. These concepts and techniques have not be fully proven but I believe new analytical tools have allowed decision makers make more informed decisions. This is something that is going to be continually worked on by decision makers to make the people factor something that gives them a measurable advantage when used.

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  24. Ryan.kozole@uleth.ca

    Management information systems are used by many businesses nowadays to increase efficiency and dramatically reduce the error that is always evident with the human hand. There is always a point to which computerized data analysis should be used, but taking the human aspect out of the decision-making process would in most cases be detrimental. This would be shown when required to combine the data gathered into a big picture in order to make the best possible decision. Many of these information systems that are used function to increase efficiency and reduce error for many analytical tasks such as gathering data and statistics (as said above), but the human portion is needed in order to rationalize the information gathered to ensure the well-being of the company and how the company should move forward based on the data collected.

    “Analytics helps codify logic of the best decision makers” does stand true in regards to a few industries. One industry that this statement stands true in is retail. With big box companies such as Wal-mart and Costco, Analytics is a major part of decision making due to the fact that large amounts of inventory become harder to track and manage without an effectively coded information system. These systems are used to help supply chain managers decide when to place an order based on the amount of inventory left in store, how much inventory has been sold and the amount that is needed based on an Economic order quantity (EOQ) calculation.

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  25. Mohammad Ashraf

    People and their professional judgment that they contribute to an organization are an important factor, which is why individuals of an organization are so vital to their success. In the analysis of raw data, the individuals discover the most useful information that is critical to the organization and the direction they are heading towards. The individual examines this type of data based on their past experience in their field, qualifications, and professional judgment. While the advanced technology may be able to automate some decision making, such as structured decisions, the people factor cannot be replaced.

    The statement “analytics can help codify the logic of the best decision makers”, basically means that analytics can make things easier to some extent for people when it comes to making structured or semi-structured decisions. These automated tools are there to support individuals, not necessarily replace the work that employees do. This can lead to more productivity and allow individuals to focus on tasks that require more attention and time, compared to the tasks that can be automated by machines and provide accurate information, which can be further for decision making and assist the individual in seeing the big picture. For example, data charts of a major corporation can help an investor see the growth of the corporations stock and make comparisons to other corporations, which may help the potential investor see what corporation is the safest to invest in, or has the potential to grow further.

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  26. Gene

    Ultimately data inputs contributed to a system and the outputs from subsequent analysis will be used by humans. The interpretation and presentation of data needs to “make sense” in that the outputs need appeal to human sensibilities and perception. Humans tend to reject things that are too sterile, sanitized or difficult to relate to so data analysis needs to include a human perspective. Thinks like the coolness factor, love, beauty, politics and belief systems cannot be adequately quantified and turned into data so human judgement must become part of any and all data analysis.
    “Analytics can help codify the logic of the best decision makers” implies that with the historical data from many past decisions where successful outcomes have been achieved that a logarithm or decision making matrix could be developed to make the right decision more often. In some industries where human judgment and experience have traditionally been used to manage a process I believe this could be true. I would suggest an activity that is repetitive and predictable would lend itself to this concept such as engineering, manufacturing, commodity trading, and transportation logistics. Alternatively decision making where there can be numerous random factors at play would make this more difficult. Convoluted and open ended situations cannot be solved purely by data analysis, only augmented. Industries such as project management, human resources, entertainment, and architecture are some examples of industries that require constant human analysis and interpretation.

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  27. Sean

    The people Factor is so important because while the machines and analytical tools can create all the data possible about a question it cannot take that data to end users. Without people the data would sit on servers and hard drives and would be essentially useless. In this example the underwriter can create all the data about floods and earthquakes it wants but if no one uses it to determine risks the data is a useless investment of time and money. People are also necessary because specialist users must exist in order to determine what the data actually means because the outputs may not be in plain and simple language and may uses symbols and knowledge specific to the company/industry using it.
    The quote “Analytics can help codify the logic of the best decision makers” means that the operation of processing and retrieving data will create its own language and knowledge base. Decisions makers who know these codes and the process’ involved will have an edge in both understanding the issues but also in how those decisions are made and so can make the best decisions the quickest.

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  28. Morgan

    With technology so heavily integrated into our everyday lives, we are creating more data than ever thought possible. However, for this data to be of use we must analyze this data. This poses an issue as we must have people to analyze this data. The human factor in data analytics plays such a large role as we are not in a position to solely rely on analytic software to make decisions. The problem with this human element is getting people to change the way they analyze data. If a new analytic tool become readily available, people may not use this tool due to unfamiliarity, or feeling uncomfortable with change. One solution that companies are beginning to implement is the idea of gamification, this idea is based on creating a game like element for people to learn and use new technology and tools. By creating a game to aid the learning process of using new technology, we are able to tap into key driving factors of the human subconscious. These key factors are our need for autonomy, mastery, and a sense of purpose. With gamification allowing us to tap into these human drives, this allows people to overcome some of the discouraging hurtles associated with learning a new technology, or way of thinking thus allowing the technology to gradually become accepted.

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  29. Mariana

    The people factor is crucial in the use of data analytics. Human judgment is vital in any industry. Computers might know how to take decisions that involve formulas, or certain procedures previously stablished, but the experience that a person can bring to an organizations is what makes each decision unique.

    “Analytics can help codify the logic of the best decision makers” . The data comes from a reliable output generated by past great decisions. So this makes that all future decisions are based on reliable evidence.

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  30. Andrew Ritchot

    The concept of Gamification is very interesting. From what I understand Gamification is the idea of applying the ways individuals better themselves at events, games or overall personal activities that they feel an individual passion for. To me, I think this is particularly interesting because in today’s workforce it is an on-going issue to efficiently motivate staff. Saying this, I have been that employee who lacks motivation in a job and I personally think Gamification would be an effective concept. Inevitably, if you don’t have efficient staff then your high quality computerized programs are not going to be enough to run a smooth ship.

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  31. Kayden Newman

    The people factor is so important due to the fact that it is nearly impossible to add a human element into programming. Data analytics can only go so far, you need human intuition and experience when making important decisions. These human elements can often incorporate things that programs cannot. And not only that but a human is often needed to finalize the decision based on the data collected. The issue presented in this article is how do you get people to use the data and understand it. This comes with training and as displayed in the article a slight bit of competition. The human elements of drive, competition, motivation, control, and bettering ones self only comes from the human touch and not from a computer. The computer is meant to be the tool in the decision making process and not the person. With so much automation today it is easy to lose focus on the human side of business but that does not mean it is not necessary in the decision making process.

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  32. Katherine

    The blog is about Gamification, this is a word that identify the concept of applying game mechanics and game design techniques to engage and motivate people to achieve their goals. Gamification taps into the basic desires and needs of the users impulses which revolve around the idea of Status and Achievement. The people factor is important, because it allows to take into consideration elements existed in humans, so by using the people factor the interaction becomes more real and its useless for the activity. This concept is very relevant at time of taking advantage of big data, depends on the company that use it benefits could vary. Also, includes a number of psychological concepts, especially regarding motivation, behavior, and personality. Deep fluency and understanding of these concepts is one of the most important keys to proper gamification implementation. To measure level of acceptance in gamification it is kind of complex, the way to do it could be analyzing the rate of engagement it has. This “Analytics can help codify the logic of the best decision makers” means that decisions that are done are recorded and stored from the initial process until the last one.
    Is an advantage to analyze and determine important backgrounds or insights from behaviors, big data can indicate what activities, content types, and frequencies are yielding the best results.Because this would help the companies to understand different motivations, behaviors, personalities and that is a crucial consideration for why is important to use people element, judgement are well done and increase the level of real decissions taken.

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