Death of Email and Productive Software Replacements in a Business Environment

The ever-changing forms of communication today are making us rethink how we communicate using the old tools and systems surrounding us. Email has been around for years and now is a part of our everyday life creating an “email culture”. But is email slowly dying?   For those of you who are not too familiar with the history of email, here are the high points. Email was created in the early ’70s for the main purpose of scientists being able to share real-time information across the world for research. Skip ahead to 1996, and Hotmail was introduced to the public with 2GB of storage — back when hard drives with that much storage cost $400. This was a game-changer in the industry that caught Microsoft’s attention in 2000 when they purchased Hotmail. In 2004, Gmail was introduced but didn’t officially launch until 5 years later after they worked out all the bugs. Email became used worldwide with just over 4 billion people using email in 2020. That’s half the world’s population! From that 4 billion, 43% of the users are Gmail accounts, with Yahoo and Outlook coming in a close second and third. With that many users in the world, 306 billion emails are sent daily which comes out to roughly 3.5 million emails per second. This is an enormous amount of information crossing between a multitude of users. In America alone, users can expect to receive up to 125 emails per day, with more than half of email being spam. What are the pros and cons of email as used in today’s society?   The biggest pro will be that it is easily accessible and free, depending on your access to a computer. The biggest cons are hackers/phishing/virus threats coming from the outside. Everyday users will come across emails aiming to steal valuable information and companies, on the other hand, will spend millions of dollars each year training employees to combat these emails. What’s next? The alternative to email culture has become a bigger presence lately with the use of programs such as MS Teams and Slack. These interactive programs offer all-in-one Organization Management communication which allows for: Each of these examples is something you have probably encountered in an email, however, it may be embedded in a long thread that’s unorganized. The power of programs is the ability to have all communication housed in a structured format that allows for sharing information easily. Instead of sending files in an email, they live in a shared folder organized by WBS. Instead of asking about progress or action item follow up, it is already visible to allow for questions to be answered quickly. Rethinking how we communicate within organizations by using smarter communication tools can help alleviate countless hours of pointless emails. Will email ever go away or die off? No. But with organizations willing to use change management techniques to help communicate more effectively, the landscape will continue to evolve to become more efficient. Author: By Cameron Laurent

Read more
data science, motive power, project management

What is Data Science?

 “Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from many structural and unstructured data”. – Wikipedia To elaborate, Data Science is the ability to take a deeper look at the data and its indicators to develop a strong understanding of what it is that the data is telling us. The true expertise lies in recognizing what the valuable and actionable insights are and then applying those to help everyone from small business owners to large corporations in making those strategic decisions. A real-world example most can relate to deals with Facebook. After a few scrolls, you notice the “Sponsored Ads” column reflecting products that you would be interested in potentially purchasing or content you would be interested in viewing. This could include various products that either you might have been looking at online or even a match made based on your taste or preference which could have been gathered from your previous social media engagement. How is it that Facebook can identify these patterns and so accurately and curate the things we like or want to see? The answer lies in Big Data and Data Science technologies. These technologies are analyzing and predicting our taste and preferences in such great depth that it is no longer much of a mystery. Facebook’s advertisement platform is so accurate that it can gather and display highly accurate content based on Behavior, Demographics, Location, Interests, and Connections. According to CNBC, Facebook made $40 billion in advertising revenue last year, second only to Google. Today, Data Science has many benefits for businesses, especially when considering the increasingly educated consumer market. With the whole concept of, “the customer is king” and having to appeal to customers to get their business, companies must be able to go the extra mile just to meet the minimum requirement. This is where implementing Data Science and utilizing data techniques becomes integral to a company’s success, allowing that organization to stand out from the rest. How does Data Science help? Several key methods in which Data Science is currently paving the road for success: Understanding the Consumer: Using Data Science in predictive analysis techniques allow companies to help tailor a customized service and allow for the ability to continuously track the customer’s preferences. This helps with drawing in new potential customers in addition to helping them retain the existing ones at a lower cost.   Competitive Edge: With the majority of companies rushing to achieve larger market share and lead in their respective areas, Data Science has proven to be the key. Data Science helps an individual company to surpass others by providing strategic insights to channel company resources, thus giving a competitive edge over rivals.   Targeted Advertisement: With such a vast amount of data flowing in from such a wide variety of sources and at an incredibly fast rate, it is becoming increasingly difficult to keep up. Companies are beginning to struggle to track and analyze said data with conventional technologies. By using modern data tools such as SQL and Python, data scientists can deal with heterogeneous and asymmetrical data to maintain and keep up with the data flow. This allows them to provide the necessary insights for targeted advertisements to various niche segments.    Supply Chain: Data Science has proven to be an invaluable technological asset within supply chain management. What was once done by manual calculations and modeling is now completed faster and more accurately than ever before in history. The ability to predict demand and manage inventory levels, assess picking and delivery, and determining the shortest delivery routes, are just some of the many areas where Data Science has made waves and has become a dependency for many new companies.   As new Data Science techniques and algorithms continue to emerge, they will pave the way for new business avenues in formulating strategies and subsequently allow such companies to capitalize on them. The future of Data Science looks to be an exciting and promising one.   Author: Alvin Galesic

Read more