Data Analysis Help

Machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to "learn" (e.g., progressively improve performance on a specific task) from data, without being explicitly programmed. This trained machine learning model can later be used to predict the probability of a future event within an acceptable reliability. For example, suppose that you want to predict the customer churn for a customer. You can use your historic customer data with customers you kept and lost to train a model using machine learning techniques. Later, you can feed a new customer info (or a set of new customer data) to the model and predict their probability to be lost. This is a two step process. First you train a model and then you use this trained model to predict (or score in machine learning terms) new data. Machine Learning training and scoring Although it looks straightforward, traditional machine learning process requires some intermed...

Beyond business intelligence, where you can slice and dice your historic data to understand what happened and why, predictive analytics will tell you what will happen and make powerful predictions about the future. This will replace intuition based decisions with data driven decision making process. You will also see how powerful machine learning algorithms are open to business users now thanks to self service advanced data analytics tools like Enhencer.  Enhencer enables business users to use advanced analytics and machine learning on their data without data science knowledge. This allows them to create predictive models on certain metrics within minutes and then predict individual records based on the model (model can be exported to SQL or your favorite BI solution like Microsoft Power BI, Tableau or Qlik).  For more information please visit https://www.enhencer.com/

Fraud attempts have seen a drastic increase in recent years with the increase in online businesses thus making fraud detection more important than ever. Despite efforts on the part of the affected institutions, hundreds of millions of dollars are lost to fraud each year and quite likely to increase as well. Just like a needle in a haystack relatively few cases show fraud in a large population. Finding these is not just tricky but sometimes impossible too. Predictive analytics can make fraud detection very easy and help you to seek out the needle in the haystack in no time. Using the dynamic segmentation, you can find the customer segments with the highest fraud rates. Predict the fraud activity You can learn the features of the customer segment likely to become a fraud and take actions to reduce the frauds. Fast & Powerful Data Analysis You don't need expensive and complex data science resources to benefit from advanced data analytics. Enhencer enables you to import, analyze ...

Fast & Powerful Data Analysis You don't need expensive and complex data science resources to benefit from advanced data analytics. Enhencer enables you to import, analyze and predict in less than few minutes requiring no coding or statistical expertise at all. Enhencer puts the data analysis in a nutshell with 4 steps. 1 - Connect/Upload Data Upload data of many formats or Import data from various sources like Typeform, Survey Monkey, Google Form and many more in a matter of seconds. 2 - Instant Actionable Insights Bring down the analysis time from days to minutes as Enhencer empowers the data analysis with decision tree algorithm in an accessible manner for everyone. 3 - Powerful Segmentation Enhencer is designed with machine learning algorithms that can explore and provide the best & reliable segments automatically no matter the complexity of the data. 4 - Predictive Models Enhencer builds the perfect predictive model & digs out the variable that truly effects your ta...

Enhencer is a visual data analytics and predictive intelligence platform focuses on the business intelligence and data visualization concepts after the emergence and popularity of the machine learning methods. With Enhencer You no longer need out-of-fashion summary tables and plots, prediction algorithms those are not always accurate, and bulky software to manage prediction processes. Enhencer generates predictive functions that you can use in your action plans by clearly showing the causalities in the data. Enhencer is also an analytical presentation tool which provides you with an elegant and interactive dashboard to display reports. There is a live demo of Enhencer online you can try on your own. If you have any question or a request for demo, you can fill the request for a demo form here or email Enhencer . For more info, you can also refer to Enhencer Predictive Intelligence Online Help . # Open Enhencer's Customer Satisfaction Data Analytics live demo . Enhencer screen is di...

To boom in today’s competitive world, a business must know its customers inside out. To understand your customers is to understand their motivations, their desires, and their fears. Your customer data can make you discover a lot about your customers if you can use proper customer data analysis tools. With such a tool, you can know why do people buy your products and services and what motivates them and what drives them away. Customer Retention & Churn The most precious assets for a business are it’s customers. However, the most important customers are not the ones that a business gains, but the ones who stay longer. It is one thing to count how many people have signed up or walked into store for the first time and quite another to understand what makes them coming back or leave. Customer retention refers to the ability of a company or product to retain its customers over some specified period. High customer retention means customers of the product or business tend to return to, con...

You are invited to Enhencer Predictive Visual Storytelling webinar on May 4th 2018 at 10:00 AM GMT +8:00. In this free event, you will discover how self-service visual data analytics can help you to derive actionable insight from data with no data science experience. Enhencer self-service visual predictive platform achieves this by selecting and running the best ready-made machine learning algorithm as you explore your data by click on the visual dashboard. This helps companies to; to free business users from data scientists and perform advanced data analytics to reduce the data analytics time to minutes from days to reduce dependency on expensive data scientist resources and statistical tool increases the use of data analytic so value extracted from data analytics is ...

Today, many companies collect huge amount of data which can add tremendous value if data analytics is applied on it. Unfortunately, predictive modeling and machine learning algorithms requires data science expertise and/or specialized statistical tools. These traditional resource are expensive. Many companies cannot afford to keep such employees. Even if they can, the process is rigid. A business users needs new data analytics requirement, he / she needs to ask it from data scientist and wait for the scientist to come up with the new model. Enhencer Predictive Visual Storyteller is a self-service visual data analytics for business users to derive actionable insight from their data in a few clicks and with no data science expertise and coding.  Enhancer's visual dashboard is easy to use with clicks while best ready-made machine learning algorithms are run in the b...

Making shopping a smooth and easy experience is the goal of many online shops. But how can easy website navigation be optimized? Unlike the physical shops, you cannot talk to the sales people in the online shops and a customer should find his or her way through the online shop. And unlike pysical shops, online shops can have hundreds of thousands of visitors every day. To optimize the shopping experience, some important questions should be answered : Why do customers put products into their shopping cart and do not buy them at the end? Was it because of the sales process or he/she liked another product simply better? What impact has a customer's drop from a detail page? Where are the differences in customer behavior depending on the different product groups, Customer types or assortments? What are the figures compared to the previous year? Were there any technical errors? Was the accessibility of all pages always guaranteed? Traditionally, answering these questions require a lot of...

Analytics is the process of using quantitative methods to derive actionable insight and outcomes from data. It involves the capture and use of the data to support fact-based decision making and gaining competitive advantage . It typically involves reporting on what has happened in the past but using tools like predictive analytics based on historical data, you can also estimate what will happen in the future. To catch a glimpse on what does Procurement Data Analytics looks like, you can take a look at this Procurement Dashboard sample. This application illustrates how an organization can analyze their spending and contracts. Users can analyze procurement through the use of purchase orders, contract coverage, payment patterns, etc. to determine which parts of the organization make their payments on time and have outstanding balances, monitor the status of contracts and important contract dates. The data used in this dashboard can be sourced from a standard Procurement or Accounts P...

Tableau has announced the acquisition of HyPer, in-memory, high performance database system designed for simultaneous, high performance OLTP and OLAP processing. Hyper high-performance database system will be integrated into Tableau’s product offerings and bring a host of new capabilities to Tableau customers such as faster analysis of large data sizes, richer analytics, enhanced data integration and data transformation as well as support for semi-structured and unstructured data. Tableau is highly optimized and works quite fast in many applications but in applications where you need to read large volumes of data, like hundreds of millions or billions of rows, it can get dramatically slow (yes there are some illustrations of Tableau with large datasets but they are very isolated, single report demos and in a real life dashboard things can get pretty slow if you need to reaf more than 100 million rows). There are some other tools also available in the market with native Tableau data...

Commercial Real Estate Leasing is an extremely competitive sector of the Real Estate Industry and the players are required to be imaginative and have information at their fingertips to avail of the opportunities that arise as well as quickly respond to government, economic and market pressures that might challenge their business models. Having market and business metrics at the tips of your fingers therefore becomes a necessity. Interactive Business Intelligence gives Commercial Real-estate professionals number of benefits: Allows you to have a data based strategy for real estate portfolio optimization. Provides a broad spectrum of self-service, easy to use business intelligence tools with customizable levels of access, reporting or analytics per user. Allows for both internal and external performance measurement and benchmarking. Interactive BI breaks down multidimensional Data mashups with beautiful, rich data visualizations that support your natural ability to spot patterns. Downloa...