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Cookie Policy


If you are uncertain about what a cookie is have a look at our simple guide to find out how we use them on our website.

What is a cookie?

Cookies are text files containing small amounts of information which are downloaded to your device when you visit a website. Cookies are then sent back to the originating website on each subsequent visit, or to another website that recognises that cookie.

Cookies do lots of different jobs, like letting you navigate between pages efficiently remembering your preferences, and generally improve your web site experience. They can also help to ensure that adverts you see online are more relevant to you and your interests.

We can split cookies into 4 main categories:

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You can find more information about cookies by visiting www.allaboutcookies.org or
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Harnham blog & news

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.

How Sports Brands Hit A Home Run With Data Science

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 sanfraninfo@harnham.com. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com. 

Death of the DMP, Rise of the CDP

The days of generically using Data in Marketing are on the decline as information gathering becomes more laser focused. Once the domain of third-party sites looking to build partnerships and boost campaign efforts, Data Management Platforms (DMPs) are making way for Customer Data Platforms (CDPs). Under the weight of data breaches, GDPR, and other security issues, technologies that center around consent are helping build consumers into campaign strategies. This is a reversal from older strategies to build data from historic data profiles at channel level.  Data is Data, So What’s the Difference? In a nutshell, DMPs act as “equalizers” – all companies have access to predefined parameters of data. CDPs are “differentiators” – each customer is unique with information driven from first-party historical and contextual data, determined along the customer’s purchase journey. Tailored customer data has now gone beyond the scope of Data Management Platforms and offers marketing insights nearly unheard of just a few years ago. Now, we can understand our customers not only from their historical, factual, and contextual data within parameters we’ve created, but we can gain an outside perspective as well.  Five Reasons CDPs are on the Rise Single, Unified StorageThey store ALL data (1st, 2nd, and 3rd) such as names, addresses, emails, etc. as well as cookie IDs and tags. This storage capacity makes it easy to aggregate everything into one place and integrate with advertising systems.They capture data at a granular level. This includes considering long-term storage and multiple storage formats without predefined parameters focused only on advertising – what we want to sell you, not what do you want to buy?They aren’t restricted to stages of the customer journey, but can pick up data anywhere along the customer lifecycle. This information can be used for look-alike modeling or can be retargeted for more effective advertising and marketing efforts.They create a holistic overview of customer behaviors opening up new opportunities for personalization. Customer First Brand Targeting Today’s advertising and marketing strategies are being re-evaluated to prioritize the customer experience. Once customer data had to fit into predefined boxes of information, now our data collection efforts are as unique as every person who visits your website, clicks a call-to-action, or visits a brick-and-mortar store. In a Nutshell… This is a crucial time in the industry and any door which will help us resolve issues and keep the customer front and center will strengthen our efforts. However, as we go deeper into what the customer likes and why we must keep our customer’s privacy safe whilst retaining an advantage over our competitors.  DMPs, once the singular domain of marketers, was used to package and repackage data to better understand customers and improve ad targeting. CDPs, on the other hand, focus on every aspect, every angle of marketing to make advertising more customer-centric and laser-focused. Ultimately, as CDPs are all inclusive, they have absorbed Data Management Platforms into their systems, helping move the industry another step forward. If you’re interested in Data & Analytics, consumer behavior, and are actively seeking an opportunity to dig in your heels and get set up for a strong career path, 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, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com. 

Putting The Pieces Together – Setting Up Your Credit Risk Team

As startups, FinTech, InsTech, and other industries shake up the status quo, it’s more important than ever for the more established institutions to break out of their comfort zones. Break out, buck up, and keep up with those leading the pack in digital transformation. Personal data, privacy regulations, and password protections are just a few of things a Credit Risk team must consider when planning their Risk Management strategies. I spoke to Ewan Dunbar from our UK office about what businesses and candidates today need to know to stay on top of their game. Here’s what he had to say when I asked what the top three roles to consider in the industry were and how they worked together? Top 3 Roles in a Credit Risk Team Process Analyst - helps to identify, design, and monitor daily processes to ensure customer accounts are efficient and effectiveData Modeler – helps to segment large amounts of data into micro and macro trends using statistical analysis. This is where solid programming experience comes in such as R and Java, though SAS is still used in older organizations, it’s being used less so as new tech startups and innovators arise. Decision Science Analyst – This role sets the wider parameters of the company’s goals using quantitative measures, then drills down to determine the best possible course of action. How Do These 3 Roles Work Together? Let’s say a customer wishes to open a bank account. The initial paperwork to be filled out and filed, entered into the system, and monitored through its lifecycle would fall to the Process Analyst. Now, the customer wishes to apply for a credit card. Here, the Data Modeler is responsible for creating a scorecard model to predict, monitor, and evaluate the customer’s ability to make timely payments. The Decision Analyst is the relationship manager who has laid out the overarching goals and following facts, variables, and other data-driven insights communicates and translates the information in a clear manner. What Kind of Education Should I Have? Big Data continues to drive growth in every industry and, by 2020, experts predict an estimated 2.7 million open jobs in Big Data and Analytics. Though it’s been touted from the rooftops for the last few years, there still remains an urgent need for qualified professionals with specific skill sets to fill the gap in these industries. And they’re not easy to find.  For roles in Credit Risk, a brand name education is the name of the game. If you’re just graduating, you have a much higher chance if you come from a red brick or Ivy League background. Experience and a focus on such subjects as statistics, computer science, and mathematics are tailor-made for this industry.  Beyond education, it’s also important that companies ensure their employees have opportunities to upskill in the areas they need most. Training pays for itself as companies invest in their employees. One Last Piece of Advice  Find your niche. This is not a place for generalists. Once you’ve determined your focus and become an expert in your field, you’ll always be in high demand. If you’re looking to dig in your heels and get set up for a strong career path, we may have a role for you. Check out our latest Risk opportunities or contact one of our expert recruitment consultants to learn more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com. 

RISK AND REWARD – YOUR RISK ANALYTICS TEAM

Apartment applications. Job applications. Credit card and bank applications. We’re sharing our data today like never before and with the advent of AI and other technological advances, we’re sharing at a more rapid rate. Data breaches and unethical behaviors give us pause before we jot down our most precious information but, ultimately, there’s no stemming the tide. So, who watches out for us, the customer and the company? Enter the Risk Management Team. It All Begins with Perception In May 2018, the General Data Protection Regulation (GDPR) became law across the European Union. Its goal? To place stringent requirements on how business handles customer data. Make no mistake, however, the need and the desire is not EU-specific. It is a matter of trust and security; something customers today demand, for the most part, before signing their information away to be organized, catalogued, and analyzed. Risk teams ensure your data will be used appropriately and ensure processes for future applications.  How do they do this? Risk teams need a cross-pollination of skillsets to help mitigate risk across industries. Often, risk begins in the financial sector, but it can also incorporate project management, data teams, marketing, sales, and Business Intelligence officials. And, with the advances of technology, they may also utilize Artificial Intelligence and Machine Learning to model historical data for future predictions. They must ask the right questions, ensure the right data is used for the right purpose, and validate their findings in a real-world environment. Roles of Risk Though in today’s market, everyone has a part to play, those who are focused on risk and considered part of the Risk Management Team might include the following: Chief Financial Officer (CFO) and Board Members or StakeholdersBusiness Analyst and Data Science OfficerRisk Analyst and Project ManagerStrategy and Predictive ModellerIT Marketing Together, these individuals work to challenge models, data, and decisions on behalf of customers while adhering to the company’s bottom line. Though Big Data and advanced analytics have evolved, the need to understand risks which differ in complexity, type, speed, and size remains. A few questions your Risk team might find itself asking, include: What is the impact of data and how it’s analyzed? Have we invested enough in human capital and technology, and advanced Data Analytics to focus on any potential risk including but not limited to cyber risk?Are our validations timely and appropriate? Who is responsible for decisions made by AI?Do we have the right people in place? The right tools? Are we willing and ready to challenge our data-driven and analytics-related risks?What’s our risk perspective? Do we have a good plan in place? Who will help us put one together and implement it? Ultimately, risk management in any sector, is the integration of people, processes and tools to ensure early identification and solution of risk across the enterprise. Setting the Stage or How to Get Your Risk Management Started Get buy-in from senior leadership and stakeholders as well as their commitment and dedicated participation to manage enterprise-wide risk.Make Risk Management a priority and enforce it throughout its life-cycle.Ensure technical and program management are both represented.Program management and engineering specialties should be communicated to ensure the right information is generated to help mitigate risk.Ensure risk team members, particularly those in program management, identify any concerns such as contracting, funding, costs, risks, and anything which might promote potentially dangerous ramifications if left unchecked. Even before your players are in place, you may want to consider a Risk Management Plan. Your team can help develop the parameters and implement it, but first you need to know what it is you need to watch. The CFO role in the risk team involves knowing who to pull together, what to look for, and to execute any cost-saving measures through a well-thought out plan to mitigate risk.  Four Items to Consider When Creating Your Credit Risk Team As important as technological advances have become to help mitigate risk, a business still needs human capital to analyze AI decisions and offer creative solution. So, the first two items to consider when building your team may seem unusually obvious. But, the second two, may not be so clearly necessary. These included oversight and systems-wide supply chain webs of data which must be carefully tended. TechnologyHuman Capital - Get everyone on board to ensure the program’s support; Assemble the appropriate people to assess the firm’s risks; Educate your team; Set your risk level.Supply Chain - Globalization has made companies’ supply chains more vulnerable than ever. Risk Governance - Conduct a SWOT analysis (Strengths/Weaknesses/Opportunities/Threats) to help engage your company members at every level as subtly work in broader educational efforts. Want to help the 99% have access to funds they need to live the lives they want? We may have a role for you. Take a look at our latest opportunities get in touch with one of our expert consultants to find out more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com. 

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