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Why Enhencer is Web Based
In the age of data-driven decision making, the swiftness of the human-data interaction is as important as the reliability of the data. As the data-sets are getting larger and larger, running between sources to make an analysis becomes harder.
New Mechanism of Marketing
In many places, we mentioned on Machine Learning, Artificial Intelligence, and relative data sciences that are newly gained influence with the fourth industrial revolution. Using those tools to discover new patterns and/or predicting what is going to happen with certain inputs is now invasive enough find its place among various sections of any sector.
Does Startup Mean Less Data?
The terms “startup” has been turning around for a few years in various sectors. From a multinational logistic company that carries passenger on demand or a transnational company that accommodates millions of people without even having any hotel room. All those examples at least one point of their existence had been called startup.
How Do You Make Churn Analysis?
The conventional methods of keeping sales high consist of multiple actions that are mostly originating from the same place; gut of campaign holder. Although this method holds for decades, global spread of the companies caused them to run into a lot of customers at once. That is, the potential of the companies is exponentially rising in terms of their customers.
Key Benefits of Simple Modelling
Ideas behind the core concepts of analysis world are complex as their implementation and area of descriptions are multifaceted. In its simplest form analytical models are models, generally, prescribed in mathematics that have form of explanations to the solution matrix i.e. changes in equations can be described in said formulation with the help of expressed mathematical analytic function.
Why Do We Calculate Product Propensity
Customers’ propensity to change their direction of purchasing has been a huge problem for decades as seller cannot anticipate the correct move for the best strategy particularly in case of larger demands. In fact, as time passes, not implementing the correct move becomes as harmful as implementing a wrong move.
A Statistical Approach To ML Full Automation
Machine learning principles are thoroughly stressed in our blog for every other day. The reason behind is simpler than it seems. The last few decades proved that the AI mechanics and other “tech” related fields needs an improvement in terms of their capacities as well as their physical borders.
Enhencer's Live Outputs
As Enhencer, we are, as a 21st century organism, following the latest trends in the data and management closely. Therefore, the consumer needs and the practical formations of the data science fields direct us to more user-friendly solutions. Those solutions are basically arising due to practical needs and other developments in the fields.
Is Data Analysis Simple?
When a basic question on a complex matter is asked, the answer is always multifold. That is, question’s ability to spot light on the matter becomes obsolete. Thus, a single response cannot answer the question even from a tiny extend. However, there is always a solution to even the darkest problems.
What Is Predictive Storytelling?
Even the most distinguished scientists sometimes have problems, there is a very common one when it comes to share their findings with the rest of the world. The lack of telling what did happen, what is happening, and what will happen is the ultimate curse of scientific advance.
How To Calculate Purchase Propensity With Machine Learning
Marginal propensity of consumers toward a product or a service is generally guessed by suppliers, so demand shifts, market movements, and financial alterations, although they have an impact, are overlooked. In fact, not being able to keep records and data causes so many problems in terms of calculations of these metrics that providers are left to guess only.
The Analytic World Of Big-Data
Regarding to the limited abilities of data storage, data transformation and data analysis processes of traditional analytic platforms on big data, new concepts are developed in the analytic world. The design of analytic processes on big data, and as well as automation processes are substantial parts of newly developed big data discipline.
Fully Automated Work Flow With Enhencer
Statistics is Reborn
How to Forecast Demand with Machine Learning
In-depth analysis of Machine Learning as a Service
Programming suites and some AI applications in the sector proved that utilizing machine learning gives you the higher ground. However, neither applying nor conveying it is not easy due to a couple of technical factors. Thus, a new segment – new paradigm of machine learning arose from the need of the market: Machine learning as a Service, MLaaS.
Cross Sell / Up Sell Probability Calculation with Enhencer
In-depth Analysis of AutoML
Running on its own, automated machine learning algorithms are the latest thing that digital transformation age offered. This smooth observation will point out the value proposition of the AutoML products in general.
How Machine Learning Algorithms Spot Anomalies
Churn Calculation Enhances with Machine Learning
Convincing a new customer to buy your product is harder than retaining the old ones. However, how would you know who is going to leave and who is not? Check below to see how machine learning helps you in this matter, too!
Benefits of Transparent Analysis
Stating your strategic moves before you even take the initial steps is not looking clever in business world. However, things are not as they may seem in 21st century business paradigm. Transparency hold a huge space in today’s day-to-day operations in almost every sector.