Analytics (20)

Big Data Rules All as Organizations Grapple with Analytics & Compliance

Moore’s Law has been a constant fixture of data growth and the tech advancements required to sustain it, correctly asserting that the number of transistors on a microchip will double every year. Since 1965, this claim has gone unchallenged, with the microchip unbelievably decreasing in size while increasing in computing power. However, many cybersecurity experts and big tech are convinced that Moore’s Law may no longer be as indestructible as it once was, referencing the explosive growth of Big Data as a primary reason. Over the last two years, 90% of the world’s data has been produced, yet companies only analyze 12% of it. This missed opportunity to fully leverage the power of data analytics represents the enormous disconnect between the vast ocean of data and the organizational struggles to successfully harness it.


Black Friday was Exceptional

Consumers flocked to stores on Black Friday, retreated to their computers on Cyber Monday and knocked it out of the park on Small Business Saturday - combining their efforts to increase holiday sales by 4.2% over last year’s totals. But it was Small Business Saturday (the Saturday after Thanksgiving) that stole the show this weekend – and when the dust settled and the virtual shelves restocked – they had millennials to thank.


'Winging it' Vs 'Statistical Reasoning' Part II: Why Statistics Can Fail

With a few more weeks to go in the NFL season I checked back in with Stephanie Martin and Matty Van Riper to see if the statistics they had used to pick their fantasy football teams at the beginning of the season were proving to be successful. Was their strategy of winging it or using statistics to pick their teams working or hindering their team’s performance?


Three Ways to Inspire Others by Finding Your Data’s Story

Data helps organizations gain valuable insights into customers, employees, products and markets, but there is a limit to what databases and charts can do on their own. Answers to organizational problems or opportunities don’t just organically spring from algorithms—they need communicators to translate the information into compelling stories. It is data stories that ultimately bring about action and change. Applying simple story techniques to data, transforms the data from making sense to also making meaning. Adding meaning helps audiences understand the data and drives real change for business. Easy, right?


Here's How Data Analysts are Transforming Basketball

The Toronto Raptors announced that they have promoted data analyst Brittni Donaldson to assistant coach following the Raptors’ first ever NBA championship in 2019. This makes Donaldson one of ten women to join the NBA coaching staff and a growing number of data analysts to take a forefront position in the sport. In a phone interview with the Sioux City Journal, Donaldson states, ““My role is to help the coaching staff make better decisions with the data we have available. It’s been really fun. I help out with scouting reports, player evaluations and roster construction. I’ve also had opportunities to be on court a little bit to help out with player development.” Blake Murphy commends this decision. Upon hearing the news the Raptors reporter tweeted, “Brittni is incredibly smart and was already working directly with players a lot. Important to have extension of analytics department in versatile connector role.”


Big Data Is Changing How Businesses Operate

From one-person business to multinationals, big data is changing the way companies operate for the better. With the increase in the amount of data originating from different sources due to the advancement of technology, companies are now deploying different innovative approaches for analyzing and extracting different useful data sets. The ability of businesses to access valuable and organized data offers them an edge and ensures long term returns. It makes it easy to make decisions which would otherwise be hard using conventional methods.


Manage Smart Factories at Any Time, From Any Location

Manufacturing facilities are complex operations. By manufacturing standards, some of the “newer” plants are over 25 years old. It is also quite common that a plant built for one specific purpose years ago is used today by a different manufacturer making different products. Adding to the complexity, no two manufacturing plants in the world are identical. They are all different shapes, sizes, and in different locations. Heating and cooling systems at a plant in the California desert will react differently compared to a plant in Calgary, Canada.  


Salesforce's Purchase of BI Giant Tableau Proves that the Future is Data

On Monday morning, the tech world got shaken up when Salesforce announced they had acquired data visualization software, Tableau for a whopping $15.7 billion. “We are bringing together the world’s #1 CRM with the #1 analytics platform. Tableau helps people see and understand data, and Salesforce helps people engage and understand customers,” co-CEO of Salesforce Marc Benioff said in a statement after the announcement. What started off as strictly a CRM (Customer Relationship Management) platform, it’s clear that Salesforce is looking to expand their influence to other industries such as data analysis – creating a product that has everything a company needs all in one software.


How Can Your Company Get the Most out of ROI

How do you measure ROI? If I knew the answer I would be a billionaire. It’s a question that has haunted marketing departments for ages.  ROI, or return on investment is a way for companies to use data to track how profitable an activity or campaign is. One would assume it would be easy- divide the campaign spend with the amount of business the campaign generated. Problem solved. End of article. Unfortunately, that’s not necessarily the case.


TV/Film Characters Breaking the Mold of What it Looks Like to Be a Data Scientist On Screen: Part 1

Data scientists and programmers come in all different shapes, sizes, races, and genders. But if that’s true, why hasn’t Hollywood caught on yet? I don’t know about you but I’m sick of seeing programmers depicted as the twenty-something shy, nerdy guy whose a recluse or the quirky chick who can only be described as eccentric.


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