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 Blogs & News portal or check out our recent posts below.
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 Blogs & News portal or check out our recent posts below.
What if we could imagine a city in which there were no traffic bottlenecks or jams? What if we could sail through tolls and park using an app? Could high-speed rail replace cars as our main means of transport commuting to and from work? Would travel apps with our faces, government IDs, and medical records launch us past the long security lines at the airport? We already use computers to help us navigate our destinations, buy plane or train tickets, and in some cities, park using only our location and a credit card. Already a part of our day-to-day for many, computer vision is moving us along at a rapid rate. Smart cities are changing the way we move Computer Vision is being used in a variety of ways and is modernizing our transportation infrastructure for a start. Using advanced technology, computers are learning to ‘see and hear’ and make informed decisions much as humans might to make our world more efficient and safer. Below are just a few places Computer Vision is already in play in our communities: Traffic patternsTraffic signals – connected cameras watch for pedestrians as they monitor traffic flow. These connected cameras also help to optimize flow and reduce congestion.Street lamps – imagine saving electricity by dimming street lamp switches then turning them back on if movement is detected.Tolls – camera captures of your license plate billed to where it's registered and EZ Pass lanes – one pass to move across highways without slowing, stopping, or having to handle cash or coin.GPS warnings – red for stopped traffic, yellow for slowed trafficParking apps - in cities with significant parking issues such as limited space. Imagine using a location-based service parsed into zones and your credit card to not only find a parking spot more easily, but to guarantee your car won’t be towed or mishandled.Clear ID - when traveling both domestically and internationallyHigh-speed rail - in some cities and talks under way for more. Commuter trains are moving beyond New York and Chicago to other cities such as Atlanta, Detroit, and Dallas just to name a few. These are just a few ways cities are being modernized for individuals. But what about on a grander scale? With the increase of online orders and demand for delivery in the last year or two, it’s estimated that over 1 million packages were delivered in New York each day. Extrapolate that to the other 49 states and the amount of traffic on the road that is strictly for deliveries soon overtakes that of individual commuters. Computer Vision is Solving for Delivery Congestion For many downtowns, parking can be a bear. Especially if you have a delivery van or truck. Where do you park to make your deliveries? Remember, you’re on a deadline. All. The. Time. What if a car is parked in your loading zone? What if there’s too much traffic to park? What had once plagued urban roadways was now a bone of contention to deliver products in a timely manner. On the more negative side of these frustrations, parking revenue was virtually eliminated as the larger companies absorbed the costs into their cost of doing business. No one was getting anywhere fast. Enter Computer Vision technology. Once the reason behind the problem was understood, cities could begin to plan for a solution. This technology could be used to help city planners understand curbside activity so they could tailor their plans based on their cities’ needs. With the proper data to make more informed decisions, cities can plan locations for passenger parking, ride-hailing lots, and delivery only zones to make more efficient use of people’s parking needs. Next Steps Toward a Modernized Infrastructure Curb management is just one of the options that America is working on to modernize its infrastructure. Making traffic patterns and flow more efficient is another. Imagine a plan in which pedestrians, drivers, cyclists, commuters, and delivery fleets can safely share the road while also investing in clean energy solutions. Adding in infrastructure plans to also help combat climate change makes it a win-win for everyone. 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.
29. April 2021
What do you get when you combine Amelia Earhart with Ada Lovelace? A Data Visualization Engineer ready to work with an aviation industry partner. Reaching new heights and shattering the glass ceiling is the modus operandi for many women, and what better role models than the ladies listed. Creative, free-spirited, pioneering, and well before their time in thoughts and action. Ada Lovelace, now attributed as the first computer programmer saw beyond the automatons of her day. She saw beyond the Berullean language in front of her she was translating. A poet father and a passion for numbers collided into her thoughts and as we marvel at AI making art, writing stories and music, and winning strategy games, we have one lady to thank. Ada. She might also be called the first Data Visualization Engineer. Don’t you think? Insightful Business Decisions are Key in Collaboration Data professionals are no longer siloed from other departments in business allowing for collaboration between teams. In partnership between both technical and non-technical employees, businesses can be sure they’re teams have a single vision to help realize business objectives and goals. The collaboration between Ada Lovelace and Charles Babbage may not have been business-related, but the ideas are the same. He passed her the document and asked her to translate, she made notes, and those notes have made history. Together they created a vision for The Analytical Machine – it exists only on paper, but it’s design, layout, and potential implementation are realized in ways unimaginable to most 100 years ago.Ada’s mathematical prowess was such that she wrote her notes in easily explainable language.She worked closely with Charles Babbage and wrote in earnest to work with Michael Farraday – she reached out to others in her field, some accepted, others didn’t. How Data Helps Inform the Future Whether you use predictive modeling, machine learning, natural language processing, or some combination of each, the data you collect helps to inform the future. We may often lament the old adage that those who don’t know their history are doomed to repeat it, but history has a shining light as well. Collaboration across the ages. Consider this. Alan Turing, the man who worked in Bletchley Park with the Enigma machine, used the notes he found to help him solve the problem. Those notes belonged to Ada Lovelace. The information she set to paper informed every stage of computer programming leading to what we know today as Artificial Intelligence. Machines that could learn and ‘think,’ not just the automatons of her age which had been ‘programmed to perform.’ The Enchantress of Numbers Known as the Enchantress of Numbers, the pioneering Ada Lovelace shares the spotlight with other pioneering women in the sciences. Think Madame Curie, Joan Clarke, even Hedy Lamarr, and of course Amelia Earhart. They weren’t of the same eras, but each of their contributions have added to what we know as the Science, Technology, Engineering, and Mathematics (STEM). We have a name for it now, but it’s always been around. And the collaborative efforts of women everywhere are growing and increasing diversity and inclusion in many businesses across the world. And at the heart of it all, in the beginning, a surprising and time-defying collaboration began. It set in motion a spark of business intelligence and insight as men and women mentored and partnered for the sake of their vision of the future. Who will be remembered one hundred years from now? If you’re interested in Big Data, Web Analytics, Marketing & Insight, Life Science Analytics, and more, check out our current vacancies or contact one of our recruitment 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.
22. October 2020
When Ford first introduced the assembly line, he could only imagine how it would affect the automotive industry. But what about how it could affect supply and demand within the life sciences industry? Automotive and similar factories have been converted before to help build items most needed. Not the least of which, today, is to help supply those in the life sciences industry with the PPE and medical devices they need. Demand is high. Supply is not. Enter blockchain technologies. As health systems become overburdened and disruptions to ‘normal’ life occur on a global scale, it’s important to ensure critical resources are prioritized. So, what can businesses do to help ensure supply and demand are met in not only these critical times, but for the future. FIVE WAYS TO ENSURE SUPPLY MEETS DEMAND When it’s difficult to supply even the most in demand products, it’s time to take an assessment of various scenarios. These scenarios can help leaders predict what and when they’ll need certain products and critical items. Assess your scenario within the framework of increased disruption.What are your capabilities?Identify the most immediate needs to meet, any risks to be aware of, and take action.Determine any structural changes you’ll need to make.Prepare to pivot. Be aware you may be in a continuous cycle of determining risk, assessing where you are and need to go, any configurations you’ll need to make to get there, and any operational procedures to improve and move forward. By assessing, prioritizing, and visualizing, companies are able to craft a clearer scope of vision. The scenarios created can offer insight into key pieces of planning to help mitigate disruptions of supply chain processes. This crisis will have long-lasting effects and implications from how we work to how we assure supply and demand. It’s in these strange crosshairs, the life sciences industry finds itself at the center of this pandemic, and at the same time is the life force which has given blockchain technologies fuel to improve. No matter where you are on the spectrum of supply chain technology, there is calculated risk to every decision. Just because we’re easing restrictions now, doesn’t mean there won’t be an about face in the next few months, and what companies do between now and then is critical. Supply is already short. Now is the time to take immediate action to help mitigate risk for patients, providers, your clients, and your communities WHAT TO DO NOW AND HOW TO PREPARE FOR THE FUTURE The scale of risk is unlike any leaders have seen in recent years. Its speed adds to the uncertainty as numbers rise, decisions change, and most are left wondering what’s next. Businesses who respond quickly and confidently can help to alleviate some uncertainties, but can craft a plan crucial to understanding the complexities of blockchain within the industry. Strong data, analysis, predictive modelling can help to anticipate any further or potential disruption. Taking these steps can help make businesses more resilient in the future and also help them manage future challenges. It’s integral to have strong, responsive, and resilient risk management capabilities. To do this, your business will want to ensure their capabilities are technology-led platforms which support analytics, machine learning, and artificial intelligence. Whether you’re mitigating risk, preparing an assessment, or determining your capabilities, it’s important to ensure you’re transparent. We are all in this together. Even in business. Transparency builds trust as does assuring supply and demand by mitigating risk. It’s these things which will soon become the basics of business protocols. Business processes have shifted online, looking for your next job has become more daunting than ever before. But here’s the good news. Leaders, hiring managers, recruiters, and prospective employees are all navigating a new way of doing business and finding talent to keep those businesses running. In the wake of work-from-home policies, remote working, and the shifting landscape of working outside the office, technology careers are prime opportunities to both gain increased knowledge in your chosen field or begin your career path. If you’re interested in Big Data & Analytics professional opportunities, check out our current vacancies or contact one of our recruitment 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.
28. May 2020
The world of work has changed and in the world of tech, it’s in a league all its own. While some articles ponder the strange strategy of school and work start and end times, others talk about the hottest jobs on the market. We already know Big Data, Analytics, and anything data-related is the place for aspiring data professionals. Both universities and businesses have amped up their curriculum and offers to help skilled workers keep up with the demand. Skilled workers. These are the people needed to fill the jobs of the future. The jobs automation can’t do, not yet. The jobs which require the human element like why a consumer buys one product or service over another (read: gut instinct). Gut instinct. It’s something developed through our human experiences. But what about those aspiring Data professionals who are coming from other industries and not directly from university. What would someone who wanted to make a mid-career change need to consider before making their move? 11 Things to Consider About Your Mid-Career Change While everyone has different reasons for changing career paths, two of the most common are money and unhappiness. For more about what employees want to remain in their job, check out this year’s Diversity Report. Mid-career changers making the leap into the tech industry plan for a year. As you plan, think about these questions, and find your why. Then, figure out how. Are you looking for a more challenging role?Looking for advancement opportunities?Do you want more flexibility in your career?Do you just want to move location or do your motivations run deeper?Are you ready to be a student again? Are you willing to “learn the ropes” again – processes and frameworks?Do you have the support of your family as you enter this next phase of your life?What’s the best way for you to learn the technical skills required? Is it a university degree, or a combination of degree, certification program, and/or bootcamp?Are you prepared for the costs associated with a career-change? Not just moving from employee to student, but prepared for the right business for your newly acquired skills.Do you have what it takes to make your desired career change? Are you prepared for the challenges, pitfalls, and triumphs change and new projects brings? You’ve thought long and hard about these questions. Your family’s on board. You’ve made it through an intensive educational program, and you’re ready for next steps. So, now what? Well, we’ve got a few articles you might want to check out to learn best practices for applying in this industry. Though you may have an edge in your business knowledge, goals, processes, and implementation of technologies, there are a few other pieces we can offer to round things out. We want to help set you up for success with tips for your resume, including how to boost it with video, and add a layer of depth without shedding the basics. And to round it all out, check out our article on how to rock your interview. Over to You If you’re interested in making a career-change into the world of data, let us know how we did with this article. What other questions do you have? And if you’ve made the leap, we’d love to hear from you about your journey into Data Science or other position in the Data and Tech industry. If you’re interested in Big Data & Analytics, Bioinformatics, Computer Vision, or Data Science, we may have a role for you. Take a look at our current opportunities or get in touch with one of our expert consultants to learn more. For our West Coast Team, call (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to email@example.com
12. December 2019
Who’s your favorite team? It’s a question you’re likely to have heard greet you at an event, sports bar, or in general conversation at least once. But what is it the person really wants to know? They want to know who you are, understand where you’re coming from, and ultimately, if you will get along. When it comes to sports, though, these questions often go unasked because we’re drenched in head-to-toe gear such as hats, caps, bands, stickers, flags, cups, and other external signfiers of instant community. But what happens when Data Science and Machine Learning enter the mix? Why, you up your game of course. Die hard fans know their stats and make it a part of conversation to discuss what they would do with a player in regard to their plays, drafts, and even endorsements. Knowing stats is a competition in and of itself. Throw in the billion viewers tuned in to watch the Summer Olympics, the Super Bowl, Wimbledon, and the World Cup, and the captive audience for endorsements and advertising is out of this world. How Data Science and Machine Learning Enhance Fan Engagement Bonding with one another over stats and with advances in Big Data technology, fans and advertisers alike can create epic, interactive experiences. From Data tracking of angles to perfect the game, to knowing the best-selling food in the stands, everything is tracked and optimized for the euphoric experiences we recount into old age. Add in the cutting-edge technologies of Artificial Intelligence, Virtual Reality, and Predictive Analytics, and the Data gleaned becomes invaluable to strategists, sponsors, and fans. These analytics can help to leverage and deepen the experience while sharing insights on possible improvements. Both of these technological advances are set to change the viewers experience. Check out this article for a deeper dive as coaches explain the importance of analyzing Data. Stats and Data have been part of the sports experience since Billy Beane brought economics to baseball, but what does that have to do with sports marketing and branding? Borrowing Ideas from the Pros… of Branding and Marketing There’s no reason to reinvent the wheel. Use what the pros know to grow and scale your sports advertising. Get Local, and Get People Talking & Acting. Promote your brand locally around both national AND local events. Use the opportunity to get people talking. What do people want? What makes ‘em tick? What makes ‘em sick? What do they love about your brand and why would they tell their friends? You get the idea. Perfect for every endeavor from grass roots on up.Cross Channels. Get social. Invest in YouTube, Facebook, Instagram, Twitter, and so on. Use sweepstakes and giveaways, contests and surveys, to get people talking about you. Drive people to your site via an app or campaign which you know resonates with your die-hard fans. Use streaming, live, and exclusivity to ratchet interest.Think Long-Term. To truly see your numbers and know if what you’re doing is working takes time. This is a long game to master as you build awareness, set your objectives, and determine what parameters to set to realize success. These are just a few brand marketing ideas to scale from sports advertising. Now, it’s time to get creative. Use your giveaways as an opportunity to interact with fans and find out what they want. Well, other than their favorite team to win, of course. You Can Only Get Out What You Put In The value of Data & Analytics in modern sports is more than stats. Data Science and Machine Learning allow fans to forge deeper and more meaningful relationships with their favorite sports teams. These insights lead toward a stronger appreciation of what’s happening in the industry and with their fan favorites. Want to get in on the game? Degrees abound in the realm of sports analytics from Syracuse to Oregon University and nearly every state in between. Check this out to see where this industry can take you. For those in the Northwest, Oregon has become almost another Silicon Valley. But don’t let its rural areas fool you. They’ve got an ace in the hole from the East and is already under the moniker Oregon rural tech hub. Check out our current vacancies for additional opportunities. Contact one of our recruitment consultants to learn more. For our West Coast Team, call (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to email@example.com.
17. April 2019