At the dawn of the Industrial Revolution the double entry bookkeeping system in financial institutions and accounting was the most advanced method of data capture for making critical business decisions. Its origins can be traced back to Florence, Italy, around eight hundred years ago. Fragments of a Florentine banker’s account book, dated to 1211, are considered to be the earliest evidence of use of the double entry bookkeeping system. One of the greatest businessmen of all time Johan van Oldenbarnevelt used this system to build The Dutch East India Company and controlled commerce world wide.
Computerized database started in the 1960s, when the use of computers became a more cost-effective option for private organizations. There were two popular data models in this decade: a network model called CODASYL and a hierarchical model called IMS. One database system that proved to be a commercial success was the SABRE system that was used by IBM to help American Airlines manage its reservations data. Relational database systems became a commercial success in the 1980’s as the rapid increase in computer sales boosted the database market, and this caused a major decline in the popularity of network and hierarchical database models. Although the Internet industry experienced a decline in the early 2000s, database applications continue to grow. New interactive applications were developed for PDAs, point-of-sale transactions, and consolidation of vendors. Presently, the three leading database companies in the western world are Microsoft, IBM, and Oracle.
Today most organizations have an abundance of data and strive to be data-driven organizations. But what are these organizations supposed to do with all this data? Data is meaningless unless it facilitates decisions that have measurable impact. Who is going to interpret this data and deliver the results in a format where it can be easily consumed and understood? As companies like Amazon and Google look to leverage machine learning and other Artificial Intelligence methods to create massive economies of scale, the question looms. How do smaller player compete and survive in this constantly evolving landscape? Is there a company that can help prepare them for the future?
Johan is an “AI powered Data Science team” delivered like a managed service. It’s like outsourcing your AI to an external Group. No internal IT involvement, no software, no lengthy consulting engagement, no integrations. Just Connect us to your data and the job gets done.
Johan eliminates the need and expense of a full time data science team. Johan analyzes your current data and tells its story, eliminating human error and human opinion. Imagine having a list of your most qualified and ready to buy prospects emailed to your sales team every morning. It could take a data scientist weeks or even months to make that recommendation. With a lead-to-revenue engine like Johan you get an unfair advantage to dominate your market. Johan.AI turns your data into better sales and marketing decisions, with actionable insights and advanced decision engine to always know what the next step is.
Data driven marketing creates trusted, insight-driven solutions, that your brand can leverage through out all of your marketing strategy. This saves time, money and will build more meaningful customer connections. Johan can create recommendations on products that would be attractive specific prospects as well as telling you which channels are the most effective with greater granularity than ever before.
Companies that make use of the massive amounts of data available about their customers are able to reduce churn and maximize their lead-to-revenue cycle. Johan will deliver the customer and business insight you need to deliver seamless and consistent omnichannel experiences for both B2C and B2B selling models. Enabling sales staff to focus more on actionable leads and less on prospecting. Your team will always know which customers most likely to leave and which customers present upsale opportunities, creating effortless maximization of customer lifetime value.
Artificial Intelligence helps automate business processes to enable larger throughput by human workers, and frees up time to focus on more meaningful work. By analyzing and deriving insight from large datasets, Johan provides recommendations that empower your workers to make better informed decisions. The ability to analyze unstructured datasets leads to better informed decision making processes empowering employees to tackle complex cases quicker, leading to better customer service, satisfaction, and retention.
Our Continuous Research methodology allows us to turn academic research and deep industry expertise into service offers that help organizations better navigate complexity and make better informed decisions. Backed by Plymouth Artificial Intelligence and their robust hardware and software development capabilities, Johan will forever be on the cutting edge of Artificial Intelligence allowing for companies to augment existing functions while developing in ways they only dreamed of before.
Artificial Intelligence systems help institutions arm themselves to make more informed decisions to manage risk and compliance processes and obligations. The enterprise asset management is being reshaped by the new data economy, regulatory changes, in addition to shifting geographic and demographic conditions. In this rapidly changing landscape, emerging technologies such as can help companies turn complex datasets into measurable value for their business. As the management of assets in any business continues to create larger and larger amounts of data, artificial intelligence will be the only way of handling these tasks at scale.
Emerging tech and increased interconnectivity are bringing an influx of data to the already data-rich Real Estate industry. More than ever before, Real Estate companies must understand how to best leverage new and existing data sources to better engage with their customers, optimize operations, and derive new insights that will impact all aspects of the Real Estate process. Artificial Intelligence helps analyze massive datasets to better understand market conditions and facilitate fast decisions so that brokers, financial institutions, and homebuyers can tackle mortgages, loans and purchases quicker, leading to better customer service, satisfaction, and retention.
New technologies are increasing the availability and actionability of data, and new digitally-savvy players in the Financial Services industry are creating a new paradigm in the way these services are delivered. As customer expectations grow and shift, quick delivery times, great transparency, and low costs become the norm. This offers a leap-frog opportunity for firms that want a competitive edge when competing for market share against legacy players and lean aggressive startups going to market with robo-advisers. Artificial Intelligence solutions are transforming how firms manage their risk and compliance function by enabling more informed decisions – from regulatory change management to specific compliance processes, such as anti-money laundering, know your customer, conduct surveillance and stress testing.
If you want a lead-to-revenue platform that gives you an unfair advantage to dominate your market. Of the many hurdles present when looking to convert a prospect from a lead to a customer, the time needed to qualify prospects is enormous. This is why many sales and marketing professionals still cast a wide net. With the power of Johan.ai you can reduce your work in qualifying leads and refining sales channels, to spend time where it really matters. Maximize your marketing by determining which customers and channels provide the most value. Optimize your revenue by finding the optimal use of your time and sales resources. Use Johan.ai actionable insights and advanced decision engine to always know what the next step is. Grow your customer loyalty by focusing your retention efforts on the right customers.