How Data Is Important Factor For Business Decisions

Data consists of the descriptions that can be used to summarize the raw facts of everyday happenings and objects. These raw facts can be anything from customer count to average sale per ring. PayPal co-founder Max Levchin said once said that “The world is now awash in data and we can see consumers in a lot clearer ways.” To a business owner like Max, data is important because it provides the means to make better decisions for the customer.

Data is the form of input, which can be produced into information. For example, 5000 could be the value of a piece of data that a business has. By adding context to this, for example if an organisation sold 1000 sandwiches in a week; this becomes information, which will influence important decisions

Data management is vital to any business as this is a key tool to an organisations business improvement, as you can refer back to data, and compare them against benchmarks. Analysing data can provide evidence for possible future structure such as identify trends, as well as indicate where improvements can be made. However there are strict procedures to be followed when collecting and storing data.

Data are “raw facts that describe the characteristics of an event or object” (Baltzan 6). Managers used to have to collect data manually along with analyzing it. This was a very time consuming process which could also be complicated in different aspects. If businesses lack data this can cause them to make unethical business decisions. For example, if they don’t have the correct data needed they may order in too many products or not enough causing a surplus or shortage in products/supplies. Being able to collect and analyze data quickly everyday helps make a business make better decision. Data in this day and age is important for a business to obtain so they can make the best possible decisions for their company to be successful. This can help a business know how much to order, how much was sold, and their customer numbers. A company can also see where they are getting most of their customers from when collecting data from surveys. Data allows us to see if a company is doing good or bad and

Data are raw facts that have no meaning until they are processed and organized to identify patterns and relationships between the data elements.

Since the 1970’s databases and report generators have been used to aid business decisions. In the 1990’s technology in this area improved. Now technology such as Hadoop has gone another step with the ability to store and process the data within the same system which sparked new buzz about “big data”. Big Data is roughly the collection of large amounts of data – sourced internally or externally - applied as a tool – stored, managed, and analyzed - for an organization to set or meet certain goals.

I have always been interested in data, but the thought of processing data intimidates me. I think it scares me because there is a lot of data out there and I wouldn’t know what to do with all of the data. I feel like I would spend more time organizing the data, than I would actually processing into something useful. Then I learned in this week’s lecture that I should not be as intimidated as I am because it’d just data and much of the data collected without a strategy is useless. Too much data is not a good thing because it slows down the whole operations. Company should conduct a strategy first and figure out what they want the data to tell them before conducting any form of research. Once you have the key metric is completed, you can start

Despite the potential challenges, it is still believed that big data is the new way of the world, and that businesses should aim to overcome these challenges. The first typical challenge small businesses will face is finding “talented people who know big data and analytics” (Taylor, 2012, para. 6). Unfortunately, since small business owners tend to not be familiar with big data, then they will be challenged to know how to use it. Big businesses have the money, reputation, and influence to hire people who are very knowledgeable with big data. Also, if the storeowner is technologically challenged, it’ll be even harder for him/her to know how big data can help him or even what big data is in order to go out and look for someone to help his/her store with big data. Even if the storeowner is comfortable with technology and is familiar with big data, the storeowner could be averse to change, and that would be another reason why using big data would be a challenge for this category. The storeowner who is used to doing things a certain way will not be eager to start using big data to improve his business. S/he will probably think that if the business is doing well, then they don’t need to change. This will prevent them from increasing profits and will stagnant them from keeping with current times and current technology. For

Big data technology is used to help produce useful information out of the massive amount of data collected from retail stores. According to Dylan Love,

Data are pure evidence or raw collected martial. Data is usually messy and disorderly when data is received and the computer or data base it then organize the data and put it into categories once the data is structed it then becomes information it is not enough to have data. Data by itself cannot accomplish anything it just become somewhat unnecessary. When data is processed to information it becomes something we can understand and work with.data and information goes hand and hand and are society we learn many different things from the data and

when data will be used, Data users are working with the data in their daily jobs.

Business thrive when they have the most accurate, up-to-date, and relevant information at their disposal. This information can be used for a plethora of pertinent markers in small and large businesses, relating to accounting, investments, consumer activity, and much more. Big data is a term used to describe the extremely large amounts of data that floods a business every day. For decades, big data has been a growing field, facing controversy on many levels, but as of late, it has been a major innovator in the challenge of making businesses more sustainable. Big data is often scrutinized for its over-generalization and inability to display meaningful results at times. When applied correctly, data analysis can bring earth-altering information to the table.

In today’s economically turbulent times, every company is trying to be better than its rivals. Every other firm is trying to gain a strategic position in the marketplace which would give them a sustainable competitive advantage, nevertheless temporary competitive advantage over its rivals. With immense competition between the firms who are trying to outperform one another, managers are always under a scanner as it is they who have to come up with a strategic or innovative thinking which will allow the firm to be ahead of competitors in the marketplace. The entrepreneurial perception of strategy makers has a direct influence on corporate entrepreneurial (CE) strategy, which is the strategy that supports new business development and renewal (Startegypaper8). The writers concluded in the paper by saying that since perceptions of managers have a direct influence on the type of strategy, i.e. explorative or exploitative they take, managers are biased towards following one of the paths more often than another in situations or environments that seems familiar, munificent, controllable, uncertain, turbulent or complex to the managers. The traditional ways of enhancing business decisions for marketing, advertising, launching new ventures or products are long gone which included important decisions being taken by top-level managers based on their intuition and instincts. Present times need a

Today, data is a growing asset that various businesses are having difficulty converting into a powerful strategic tool. Companies need help turning this data into valuable insight, which can diminish risk and enhance returns on investments. Companies are struggling to make sense and obtain value from their big data. Superior and reliable

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