The Silent Wave of Innovation, Scrum, and Agility in Data Warehousing

Graham Waters

The Silent Wave

Agility has become a buzzword in the data science and analytics community as the demand for flexible storage solutions and the increased data retrieval speed continue to climb in tandem. Historically speaking, when these types of discoveries are made, it has induced dramatic and, at times, traumatic change. Something as simple as discovering a valuable piece of metal, a new technology, or a novel tool has been the impetus of mass migrations, gold rushes, industrial revolutions, and wars. In the twenty-first century, agility is vital.

Photo by Joshua Sortino on Unsplash

Though the streets remain relatively calm, the skies are void of black factory…


Functional excellence through dedication to cybersecurity

When it comes to defending your most valuable assets, there is no such thing as going too far. People may argue that there is a line where the expense incurred has no measurable ROI, and to a certain extent, this is true. Everything is limited by capital investment; however, there are established methods of minimizing cost and maximizing results. Figure 1 shows a preview of what this post will cover.

Figure 1. Cirrus Word Cloud of This Discussion Post (Waters, 2020).


Why does the prevalence of information reduce the attention of the knowledge worker? How can an analytics strategy overcome this phenomenon?

Graham Waters

When I worked as a Realtor,

I would often find myself charting out my cold calls and keeping needless statistics that, in retrospect, held little or no future value. This seemed like a


Why should social media be considered an important piece of a marketing strategy?

This is an essential question for companies to ask in the year 2020. What reasons exist today that have motivated the modern marketers’ push to tap into this online town-square, and do the challenges encountered along the way make the opportunities worth the risk? The answer may not be as simple as a list of tips, and there is one preliminary question that needs to be answered: what is marketing without social media? If your company’s marketing department is excluding social media from your marketing strategy in our current moment, then your company will fall behind competitors within the next…


Building Trust through visual brand continuity and accurate data representation

Public Perception, Trust and Demand for Content

Photo by Bernard Hermant on Unsplash

Several groups have proven to be influential over public perception. Companies must conform to changing cultural expectations to stay relevant (Thomas, 2018). Showing a commitment to social causes their client base is passionate about is essential.

Content


Morning Meetings and Internal Messaging

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In Real Estate, there are numerous outlets for internal messaging; however, the most effective, in my opinion, are morning team meetings. As a team, we had to participate in morning meetings; the purpose of these meetings was to get pumped up, spoon-fed relevant stats, and ready for the day. These meetings set expectations as a team and gave us time to walk around the office and talk with our coworkers. It is beneficial that this type of messaging is utilized to force people to interact with one another. Furthermore, morning team meetings also keep everyone on your team accountable. They…


Tesla’s Window-gate Debacle

Photo by Bill Jelen on Unsplash

Recently I was challenged to find an example from current events of a communications event that either supported or undermined a clear business objective for a publicly-traded company. To do this I try to explain how that event impacted the business and express my own opinion of whether the event was strategically planned or not.

The most relevant example of this in many minds is when the window of the Tesla Truck broke in its first demonstration (Brito, 2019). …


A quick look at one of the most well-known dimensionality-reduction techniques

What is principal component analysis (PCA)?

As the name suggests, PCA is a statistical method that gives us the ability to analyze the principle components of any data set. Suppose you have dealt with data a lot. In that case, you may have some experience with a technique called “Dimensionality Reduction” this is when statistics are just too complicated and high in dimensions to gain real insight from, and taking them down a level helps simplify the process. In dimensionality-reduction, we are either reducing features or extracting them. For this post, consider only feature extraction. We look for the least essential variable, say the cost of…


Hey Evans,

What a great post! I love your use of Seaborn and data viz. I thought you might want to check out this article as well. It has some great stuff that goes well with your content.

USING MACHINE LEARNING TO PREDICT THE NEXT PURCHASE DATE FOR AN INDIVIDUAL RETAIL CUSTOMER

M Droomer ; J Bekker

South African journal of industrial engineering, 2020-11-01, Vol.31 (3), p.69-82

Best,

Graham Waters


Wow! Thanks Travis, this is an excellent article. I love the Google Cloud personally as I am more on the data viz side of things but I appreciate your introdution to the Saturn Cloud Platform. Excellent work.

Graham Waters

Strategic Analytics Master’s Student at Brandeis University with sales experience in both the automotive industry and Real Estate.

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