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Some lives are defined in short unexpected, spontaneous moments. For 5 young stallions on a chilly night in early March, under the glittering lights of the Empire State Building, lives were changed forever in 30 exhausting, passionate and gut-wrenching minutes.
They say beauty is in the eye of the beholder, but I say true beauty is evident for all to see.
What occurred on the corner of 11th Avenue and 23rd Street was truly beautiful and will be talked about for generations. Many years from now, grandchildren will hear the story of the 5 British men, who walked through the streets of western Manhattan seeking glory and honor.
What they discovered is that there can be no glory without hard work, sweat, and tears.
As our heroes puffed out their chests and stood there motionless for the team photo in front of a sellout crowd consistent of 1 guy walking a dog and someone who was lost! Nobody could predict what lay ahead.
The early minutes were cagey, tight, menacing, yet promising too. Harnham moved the ball with swagger, confidence, and agility.
In between the posts was the irresistible force that is Adam ‘Keenos’ Keene. In front of this agile man was a brick wall made of guts and cement in the form of Ireland's Allister Duncan, also known as 'Dunc' and the bald headed maestro that is Jamie ‘Salmon’ King. These two were on the same page from start to finish. If Dunc was bread, then Salmon was the spread.
In front of them was no mere mortal. Some are born great, others have greatness thrust upon them. For Sam ‘Maughany’ Maughan, it's a bit of both. He commanded the center of the field, and quite possibly slipped this paragraph in!
It was his. He owned it.
He glided across the pitch like no man had ever before.
Just in front of him was a spiky fellow known as Mark ‘Hedgehog’. Hedgehogs are not known for their pace or agility, but this cunning mammal was like no other seen before. Having declared himself unable to participate in any type of sport before the game, this tiny creature covered every blade of grass with the sort of desire and purpose that few have ever seen.
5 minutes had not passed when Sam Maughany picked the ball up 20 yards from goal, drove at the heart of the enemy's midfield and launched an audacious and gorgeously crafted lob that floated over the hapless keeper.
Harnham led 1-0.
Believing the impossible dream could become reality, Harnham searched for a second, and they didn't have to wait long for it either.
Keenos distributed the ball wide to the Salmon, the Salmon drifted inwards and sprayed the ball left where Dunc was waiting patiently. Dunc threw his opponent out of the way with a force that could be only admired, then Dunc slid a delightful ball through to the Hedgehog, who fainted one way, then the other and released Maughany; who made haste and crossed the halfway line.
With options limited ahead, he decided to unleash a pile-driver of a strike which flew faster than the speed of light and dipped deliciously into the top right corner. Maughany was mobbed by his teammates as Harnham celebrated a 2 goal lead.
Our heroes now had room to breathe. But like every love story, a moment of heartbreak is never far away.
With half time only 5 minutes away, Harnham's fitness levels finally became evident. They had none.
Harnham were literally on their knees. It was quite a sight to behold. Our brave warriors looked defeated. These guys were seriously struggling and alas an opportunity came for their opponents to take advantage.
Within 3 stomach turning, painful minutes, their lead was no more.
2 brilliant strikes had left Keenos with no chance whatsoever and Harnham were staring down the barrel of a famous football collapse.
Seconds before the break Harnham had one last chance to restore the lead but Jamie Salmon's close range strike was weak and well-kept out by a desperate dive from their keeper.
2-2 at the break.
Our generals gathered in a team huddle. A new source of energy appeared out of the darkness. There was a sense of optimism in the air that few have seen before. You could see the belief pouring out of them, this was to be their night, and nobody was going to take that away from them.
Mark Hedgehog reminded everyone of how far they had come... some from Brooklyn, others from the Upper East Side and one from the Village that lies far to the East. There was no way they were returning without 3 points.
The first 10 minutes of the 2nd half were cagey. Both sides feeling out the other, probing for weaknesses.
Within those 10 long grueling minutes there was a moment of greatness. Our opponents launched a devastating attack, tearing through Harnham. We seemed undone. Despair was inevitable.
But one man said no. One man stood up to be counted and said you shall not pass. That man was Adam ‘Keenos’ Keene. As a stinging, rasping effort flew towards the bottom corner, the outstanding Keene flung himself in its path, and with an outstretched arm he pushed the ball around the post. It was sheer magic!
Harnham went straight up the other end. Dunc found Maughany in space and the midfield maestro completed his hat-trick to send the traveling fans absolutely wild. Maughany had beaten two men and coolly slotted the ball under the despairing dive of our opponent’s keeper.
3-2 up, the final 60 seconds were a little chaotic as the enemy launched long balls deep into Harnham territory, but our heroes stuck together and beat everything away.
At the final whistle, Jamie Salmon collapsed to the floor. Sam Maughany was exhausted, Mark Hedgehog fell into the grateful arms of Allister Dunc and Adam Keenos kissed his goal posts.
Harnham had done it. 3 points that literally nobody had given them any hope of claiming were theirs.
This is what it means to be Harnham... This is what it means to win.... This is what it means to seek glory and to find it...
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
Visit our News & Blogs portal or check out our recent posts below.
Siloed teams are swiftly becoming a thing of the past as organizations learn collaboration is key. Businesses are embracing transformation. But some may not know where to turn to help them manage such a massive restructuring of operations. Enter the DevOps Engineer. Yes, Virginia. The unicorn employee does exist. What is a DevOps Engineer? For many businesses, it’s a dream to find a technical person who can also communicate across departments. In the DevOps Engineer role is an IT Generalist who not only has a deep understanding of codes, infrastructure management, and agile familiarity but who also possesses interpersonal skills. It’s this combination that makes this role so imperative to businesses. Working across siloes and bringing teams together for collaboration bridges the gap between the technical and non-technical departments. One of their most important roles is as advocate. Moving from siloed teams to the more collaborative environment of a DevOps culture can be difficult for engineering team members. But as advocate for the benefits, the DevOps Engineer can explain it best to those with whom they’ve worked. Their technical expertise puts them on par with their peers and their interpersonal skills offer a way to communicate across the organization. Want to Restructure Your Skills toward DevOps? If you’re an IT Generalist with great communication skills. DevOps Engineer could be your next role. But what skills do you need and how might you streamline what you already know into this key role for many businesses? Technical skills depend on team structure, technologies in place, and tools already in use. But the key element of a DevOps Engineer is their strong communication and collaborative skills. Can you morph your technical world into layman’s terms for the executives? Can you translate different needs across teams from QA testers to software developers, generalists and specialists alike? It’s this deep understanding which makes you so valuable to employers. For many organizations, this is the best of both worlds. Knowing the pros and cons of available tools. Understanding the components of a delivery pipeline. And strong communication skills to bridge once siloed teams into a cohesive and collaborative environment. More technical skills include, but aren’t limited to System administration – such as managing servers, database deployment, and system patching just to name a few.Experience with DevOps tools – understand the lifecycle from building and infrastructure to operating and monitoring a product or service.Configuration management – experience with configuration management tools such as Chef, Puppet, or Ansible to automate admin tasks.Continuous Integration (CI) and Continuous Deployment (CD) – this is a core practice of DevOps. It’s this role’s approach to software development with tools to automate the building, testing, and deploying of software processes. System architecture and provisioning – ability to design and manage computer ecosystems whether in-office or in the cloud. Within this skillset is the importance of Infrastructure as Code (IaC). This is an IT management process that applies best practices from software development to cloud infrastructure management. Collaborative management skills – while the CI/CD skills are core to the technical side, this is one of the key components for the soft skills required for a DevOps structure. In a Nutshell DevOps (Development + Operations) is a practice that involves new management principles and requires a cultural change. And a DevOps Engineer is the heart of the transformation. Yet they can’t do it alone. A good DevOps Team has more than just one engineer. It involves a mix of generalists and specialists to implement and improve these practices within the software development cycle. A few of these roles include: DevOps evangelist Automation expert Software developer Quality assurance If you’re interested in Big Data and Analytics, Harnham may have a role for you. Check out our current vacancies or contact one of our expert consultants to learn more. For our West Coast Team, contact us at (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
15. April 2021
Google Analytics 4 has amped up data insights into the behaviors and preferences of your customers. Where once each touchpoint only tracked what had been clicked, GA4 is bringing it all together in a more wholistic approach to the customer journey. As the fourth quarter of 2020 dawned, Google upped its game. Crafting a compelling array of features with machine learning at its core, this new platform offers a more customer-centric approach to data-driven insights, rather than split data across platforms and devices. Though still in its infancy, there are some dramatic new changes afoot. And while it’s not a good idea to get rid of the old Universal Analytics platform before ringing in the new one, it is a good idea to understand what’s available now and what may come to be over time. Four Advantages to Google Analytics 4.0 From our desktop to our laptop to our smartphone, we carry our office in our pocket or on our lap. So, what better way to integrate what was once called “App + Web properties” into a more cohesive trackable measurement of data. Add to this the privacy protocols in place to protect customers, and Google Analytics 4 offers flexibility for future cookieless tracking and permissions, and advantages are revealed. Combined Data and Reporting Rather than focusing on one property (web or app) at a time, this platform allows marketers to track a customer’s journey more holistically. The platform’s premise is that there is a pattern everyone follows. From the moment a customer visits your website to clicks on a button subscribing to your newsletter or blog – Acquisition and Engagement. To the moment your customer makes a purchase, is happy with the product or sevice, and comes back again – Monetization and Retention. Designed for marketers who want to track users across multiple formats, Google Analytics 4 hopes to solve with Data Streams. These Data Streams merge to paint a picture of the customer journey from website visit to purchase. A Focus on Anonymized Data This anonymization answers the call to Data Privacy and third-party data collection. Crafting a unified user journey centered around machine learning to fill in any gaps, marketers and businesses have a way to get the information they need without diving into personal data issues. This is a key change in that Google is moving away from client-side focus and using server-side and customer-centric capabilities. With GDPR and privacy laws in full swing, marketers face enhanced privacy regulations as cookies are phased out or blocked. Predictive Metrics and Audiences Using Machine Learning to predict future transactions is a game changer for the platform. These predictive metrics for e-commerce sites on Google properties allow for targeted ads to visitors who seem most likely to make a purchase within one week of visiting the site. Though focused on e-commerce sites now and based on transactions and revenue, there is an opportunity for marketers to identify and convert based on such leads as video views or form submissions. Machine Learning-Driven Insights The launch announcement for GA4 explains it “has machine learning at its core to automatically surface helpful insights and gives you a complete understanding of your customers across devices and platforms.” Machine Learning-driven insights include details that elude human analysts. What These Changes Mean on the Digital Frontier We’re all reaching for higher value and Google Analytics 4.0 brings it into one unified platform for the future. As we make the shift from traditional Google Analytics to its 4.0 version, there is opportunity to get more creative. Wondering if you should upgrade? This article breaks down the pros and cons to help you decide. If you’re interested in Big Data & Analytics, Harnham may have a role for you. Check out our current vacancies or contact one of our expert consultants to learn more. For our West Coast Team, contact us at (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
08. April 2021
Natural Language Processing. It seems a simple enough explanation. The idea is to make computers sound like native speaking humans regardless of their language. Except there’s one problem. When we speak, we don’t follow our own rules of grammar. We use idioms, metaphors, abbreviations, and oftentimes use more body language to communicate than we realize. So, what’s a poor machine to do when confronted with such an unstructured melee of data? Well, since semantics is not what you say it’s how you say it, we must teach computers to read between the lines. Of code. Enter NLP. The semantics of human language written for a machine to help make sense of our human behaviors gets organized. The Perfect Imperfections of Language Computers require structure. Natural language does not. Teaching machines how we communicate is no easy task, and yet we use machines that can do this every day. By combining technology and Machine Learning we begin to teach computers how to understand us. We teach them how to interpret and determine what it was we want done. When you’re asking Siri or Alexa a question, you’re helping them to learn how you ask, so they can better respond, and they make you more efficient. It’s a win-win for everyone. In business, using NLP techniques to drive business decisions is even more important. Now, the computer must decide what information is the most valuable to pull from a pile of Data. Understanding our choices, our tone, even the words we choose to use, helps our machines learn what we want to do or need done. Where is NLP Used? Since we use different rules when we speak than when we write, our computers learn how we talk and how to use language more naturally. Wondering where NLP might be used? In a word or two? Nearly everywhere. You are scheduling a meeting and when it’s time, a calendar reminder pops into your phone which says estimated drive time to the meeting based on traffic conditions in your area. Or you ask Alexa to play your favorite music list from Pandora. Every touchpoint in this scenario is using NLP. We naturally might get into our car, ask our Virtual Assistant navigation system for directions, or to play our favorite music. Our choices don’t fit in a box and may not be logical, but the more we teach the machines, the closer they may get to understanding the nuances of our language. Here are 5 more ways we use NLP every day: Predictive text on your phone or in your Word document. Chatbots and Virtual Assistants to ensure customers are acknowledged in a timely manner, answer basic questions or redirect to appropriate personnel, and making suggestions to improve the customer experience.Curating social media feeds to determine customer needs and interest.Grammar correction software so our emails and business documents are error-free.Analyzing customer interactions using comments and reviews for customer feedback about a product or service. There’s a ton of information to be filtered, sorted, sifted, and analyzed, and NLP is just one of the tools Data Scientists use. Interested in the subfield of NLP? Check out this article for 6 techniques you need to know to get started. Already well-versed in the industry and looking for a new challenge? If you’re interested in Big Data and Analytics, Advanced Analytics, Life Sciences, Data Science, or any of our Data professional fields, we may have a role for you. Review our current vacancies or contact one of our expert consultants to learn more. For our West Coast Team, contact us at (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
25. March 2021
Ever wondered what’s new at the dentist’s office? If you’re in the hot seat for dentures, crowns, or braces, you may be surprised at the speed you find yourself with a new smile. Imagine a new set of teeth printed layer by layer before your eyes. Ok, before your dentist’s eyes. 3D printing has been used to print prosthetic limbs, orthopedic and cranial implants, surgical instruments, crowns, and dental restorations. Electronic Health Records. AI-assisted surgeries. Machine Learning algorithms for more efficient workflows in hospitals and doctors’ offices. Medical technology isn’t new. But what about dental technology? In the Life Sciences field, technology is helping to shape the future of how we heal. What is 3D Printing? According to the FDA, “3D printing is a process that creates a three-dimensional object by building successive layers of raw material. Each new layer is attached to the previous one until the object is complete. Objects are produced from a 3D file, such as computer-aided design (CAD) drawing or a Magnetic Resonance Image (MRI). The flexibility of this technology allows creation of individualized products such as prosthetics, dentures, or crowns specific to the individual requiring the device. “It’s Not the Drill, It’s the Bill” Borrowed from an old commercial, the tagline originally implied patients weren’t afraid of the dentist, but of the bill at the end of the appointment. But with today’s technologies, particularly through the benefits of 3D printing, this tagline isn’t quite so dramatic. Here are a few ways, 3D printing in dentistry is benefitting both doctor and patient. 1. The Lab is Onsite Cost savings begin here. When the dentist can do his or her own lab work onsite, it’s less cost to consumers and to the dentist office’s bottom line. Add in the user-friendliness of the available 3D machines which allows dentists to produce molds, models, crowns, bridges, there’s plenty of opportunity to be more efficient and have more control over time and quality of the product. 3D Printers range in price from $20,000-$100,000+ for industrial printers. If you have a dental practice, you could most likely snag a desktop model for around $6,000 or less. Compare that to over $100,000 for outsourcing lab work, labor, and shipping costs included. 2. Getting it Right – More Accurate and Faster Services Reduce errors and increase accuracy when using 3D printing to convert digital images into physical objects within minutes. Watch as your patient’s dentures, for example, are printed layer-by-layer and usable with minutes, not hours or days. Your technician can get to work as soon as the scan is ready and won’t be inhaling plaster or grinding dust while they work. A clean work space is a safe work space, no matter the industry. 3. Better Quality Products Skilled dental technicians are still in high demand. But with the advent of 3D printing, their jobs are made a bit easier, and they’re able to design and create better quality products. Milled models could wear down over time. But a 3D model offers more stability and durability than its predecessor. Additionally, this digital model creates a more complex structure and offers a higher level of detail that may not be available in more traditional modeling techniques. 4. Enhanced Patient Experience 3D printing technologies have enhanced patient experience by reducing anxiety and increasing patient acceptance. How? Well, when you can print a model to help explain what’s going to be happening to identify and solve a patient’s problems, it can help alleviate their stresses of the unknown. Add to this a more efficient workflow, more aesthetically pleasing products, and less invasive treatments which make the patient’s visit go more smoothly, and you have a satisfied customer. 5. Save Money Last, but not least, is probably the biggest benefit to both patient and provider. Saving money. Though the upfront investment in a 3D can run into around $20,000 for a top model, it includes all the necessary components printer, reduces the need for skilled staff to produce dentures, implants, and other dental restorative models. These savings are then passed on to the patient not only monetary value, but in time. The more accurate, efficiency, and speed of 3D printers means less time at the dentist’s office. Less return visits. Less error. With an estimated savings up to 80 percent depending on patient’s needs Smile. Tech is transforming the dental industry. Want to see where it can take you? If you’re interested in Big Data & Analytics, Advanced Analytics, Life Sciences, Data Science, or any of our Data professional fields, we may have a role for you. Check out our current vacancies or contact one of our expert consultants to learn more. For our West Coast Team, contact us at (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
18. March 2021