Pain Points in Business Intelligence Benefits

The shift from conventional to data-driven analytics is steered by technology and automation across organizations. Businesses are excited over the promise of analytics and what they can attain by harnessing these tools, data analytics is continually proving to be a key and vital tool in making better decisions for companies. Because of the rapid growth of digital technologies, more organizations’ abilities to analyze massive amounts of data is increasing the appetite of enterprises for even more data, better data, advanced analytics, implementation of best practices, etc.

However, these organizations are facing a huge data influx, increasing data complexity, and market volatility, many organizations find data analytics to be overwhelming and a burden, but this article goes into depth of why organizations may feel this way and what problems they face. The first pain point the article points out is that organizations see analytics as a vaccine, when in reality is it a routine workout.

Second, insights are just initiations and do not add immediate value to the business, third, scalability, or the rate at which businesses can keep up with the growing amount of data.

Fourth, descriptive analytics is a post-monem. Fifth, human intervention in analytics is both a friend and foe. Sixth, opportunities cost is huge Seventh, it is manually intensive eighth, numerical data is analyzed, but categorical values are forgotten. Ninth, there are users without expertise in the organization tenth, increased time consuming tasks for installation, etc, I believe this concept is important with respect to business intelligence because all of these pain points are struggles with many companies and businesses.

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Data analytics is a useful tool for an organization, but with lack of experience and misunderstanding of how it functions can hurt an organization.

With growing frustrations, data analytics can be neglected and become underutilized while many companies (including their competition) excel and grow exponentially.  Investment in the wrong kind of data analytics tools or providers for the company can result in waste and unnecessary stress and tension for the company. It is important for each company to understand what kinds of tools they should invest in, what kind of work it will take, and how the data will ultimately help them, the concepts, or rather the pain points, from this article will help me in my future career because it is helping to familiarize me with challenges I could face in any organization. With little background in data science and business intelligence, it is important for me to understand what I can expect with data analytics in my organization. In a leadership position, it is highly likely that I will have to consider budgetary concerns and what tools/providers to invest in. Collaboration with my data scientists or other experts will also be necessary to understand what tools would function best for the company.

It is also important to understand the time involved with data analytics, for example, how long it will take to implement a tool, how long to start seeing results, and that it will not be a quick fix. “These Are the Top 50 Jobs in the U5 Right Now” This article points out that an increasing number of people are searching for higher-paying jobs, especially as the economy continues to trudge along. The economy is showing signs of solid job growth, and indicators prove the United States is experiencing “robust” economic expansion. The article also indicates that the number of people who are qualified forjobs that require highly specialized skills (such as within the data, analytics and development sectors) are limited, and competition for these employees can be fiercet. As more managers look to grow their data analytics sectors within their organizations, they are also looking for high talent to help them accomplish their goals.

The article examines and combines the number ofjob openings, salary figures and overall job satisfaction ratings to produce their top 50 jobs The first job to appear on their list is data scientist. With an average $110,000 salary and 4,184job openings, it is clear that this is not just a desirable position for employers, but for prospective employees as well, It was not surprising to me that the next top jobs listed were data engineers and analytics managers. These statistics just go to show how important employers value these jobs and how they contribute immensely to a variety of industries. Database administrators and other business intelligence related positions were at the top of the list as well, indicating that these jobs are most likely to stay at the top of the list as the need for data analytics continues to grow I believe that the concepts of this article are important with respect to business intelligence because it shows the value of learning and understanding data science in the current industry.

Even if one decides to not continue learning data analytics, managing, engineering and administration at a deeper level, it is important to understand the value these employees bring to a company. This article helps to grasp the human side of business intelligence as well, Sometimes we become so concerned with the technology, methods, and other tools that we forget about those that will help make data analytics and interpretation possible for our organizations. It shows how important they are to a team of employees in order to help the entire company make better decisions that will affect all levels and departments of a business or company.

In my future career, I will need to understand the level of competition to hire and retain an employee with the level of specific talent that the organization needs. In the beginning of the article, John Reed, a senior executive director for Robert Half Technology, stated that “managers still need to fill the roles, but must remain patient during the search and move quickly to make an offer when they have a good candidate.” This quote was extremely valuable to take in because it helped put the urgency of hiring a good candidate in the right light. Yes, the competition may be fierce, but it is important to analyze just what you need an employee to bring to the tablet.