user data platform unifies data from disparate systems to one single repository, which can then provide great value to different teams/functions. The data can broadly originate in transactional systems, customer relationship management systems, customer interaction on the online/offline channels and third-party systems. A UDP not only brings all of this together but correlates and references data from all these systems, hence providing a Single Customer View which records all the user touch points
Unified Data Platform & Amazon personalize It is beyond doubt that Personalization adds real value to the customer engagement, in fact,around 30% page views on Amazon are from recommendations. But the question then is, why doesn’t everyone implement it and more importantly, why is it so hard to achieve good...
AI in fashion industry Trends in the fashion industry are driven by customer flickering behavior. Change is the only constant in this field. Other than consumer expectations, fashion is also largely impacted by numerous cultural, seasonal, geographical, and social events. However, the world has come together because of the internet....
How deep learning solves retail forecasting challenges Like in the case of most industries, retail too, is being driven forth and ahead with data. Keeping up with the increasing demands and expectations of customers is no easy feat. However, utilizing traces of data that consumers leave behind, retailers have actually...
Machine learning and AI-based techniques use complex algorithms that can contribute to solving complex cost and delivery problems faced by an increasing number of enterprises today. Deploying the right ML model, enterprises can draw significant insights on how to improve and optimize their supply chain performance. By anticipating anomalies in logistics costs in real-time, AI in machine learning can help companies bring down revenue losses tremendously
Roaring magnanimously, artificial intelligence has emerged as one of the most widely used technologies in every industry today. Looking at the graph below, it is clear that artificial intelligence has established a strong foothold in supply chain management as well. In fact, AI in the supply chain comes at the...
Data-Driven Transformation Affair in Retail Retail is one of the strongest and fastest-growing industries worldwide. 2019 onwards it will further pick up the pace and witness a glorious data-driven transformation. If you take a look at the statistics, the global retail industry is expected to register a CAGR of 5.3%...
Traditional Forecasting Methods As seen in Part 1, Forecasting is an important part of the demand planning strategy. Human beings have been cognizant of the importance of forecasting since time immemorial. We have forecasted weather patterns to understand mother nature to become an agrarian community from hunters and gatherers. While...
Container Orchestration - Kubernetes As we know how popular the Containers have become in today’s IT world. Most of the large organizations have moved out of their traditional approach of using virtual machines and started adapting Containers for deployment. Kubernetes (“koo-burr-NET-eez”) is the conventional pronunciation of a Greek word, meaning...
We will discuss different data normalisation methods such as value mapping normalisation, discretization normalisation, equal width discretization , egual frequency discretization and aggregation normalisation
Data Transformation | Normalisation techniques In the part 1 of the series we looked at the various methods of normalising the data including min-max and box-cox transformations. In this part we look at the following Value Mapping Discretization Equal Width Discretization Equal Frequency Discretization Aggregation Value Mapping Sometimes in the...
The process of normalisation entails converting numerical values into a new range using a mathematical function. Two common normalisation methods are min-max normalisation and z score normalisation
Data Transformation | Normalisation Techniques Almost always when we get raw data in any project, it is unfit for direct consumption for analysis or modelling . It is a especially a concern when the data volume is huge for example in a big data analytics project . In this blog...
Demand Planning An unsophisticated forecaster uses statistics as a drunken man uses lamp-posts - for support rather than for illumination. After Andrew Lang </em> All business planning is underpinned by forecasts - sales of new and existing products, availability of Raw materials. Yet no one has a crystal ball that...
Advantages of ReactJS ReactJS is an open source JavaScript library which is developed by Facebook. At present, React is being maintained by Facebook and Instagram along with an open source community. The features provided by ReactJS enable developers to create interactive and compelling user interfaces (UIs) for varied websites and...
Spring Boot and Spring MVC At present, Spring is one of the widely used application development frameworks for Java platform. The comprehensive infrastructure support provided by Spring helps developers to simplify and accelerate the development of various Java applications. In addition to keeping applications modular, testable, and maintainable, the framework...
MVP in Mobile App Development According to the Statistics Portal, Google Play Store allows Android users to choose from over 2.1 million apps, whereas the Apple App Store allows iOS users to choose from almost 2 million available apps. Each enterprise needs to focus on building a unique product to...
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Big Data in Healthcare Industry According to Deloitte.com, “Global health care expenditures are expected to continue to rise as spending is projected to increase at an annual rate of 5.4 percent between 2017-2022, from USD $7.724 trillion to USD $10.059 trillion.” The growth of the healthcare industry will be driven...
NodeJS Frameworks for Web Developers As an open source and cross-platform runtime environment, NodeJS enables web application developers to execute JavaScript code on the server-side. Many developers these days leverage Node.js to simplify web application development and maintenance by writing both client-side and server-side code in JavaScript. NodeJS helps developers...
Golang vs. Python According to TIOBE.com , “Python has now definitely become part of the big programming languages. For almost 20 years, C, C++ and Java are consistently in the top 3, far ahead of the rest of the pack. Python is joining these 3 languages now. It is the...
The State of Java in 2019 According to TIOBE Programming Community Index for January 2019, Java is currently more popular than other widely used programming languages including Python, C, C++, Visual Basic .NET, C# and JavaScript. Also, for almost 20 years, C, C++ and Java are consistently in the top...
Azure HDInsight As a fast and scalable framework, Apache Hadoop makes it easier for data scientists to store, process, and analyze very large volumes of data. Many data scientists use Hadoop for offline or batch processing. They can further accelerate big data analysis by scaling up the framework by adding...
Amazon Athena Unlike conventional database queries, interactive queries enable data scientists to query large datasets efficiently and quickly. The interactive query services provided by leading cloud service providers help data scientists to query large datasets rapidly. The data scientists have the option to choose from a wide range of interactive...
Technology trends that will dominate 2019 According to an industry report published by Mordor Intelligence, "The global digital transformation market is expected to register a CAGR of 18.11% over the forecast period (2018-2023)." The report suggests a consistent increase in the number of enterprises using the latest digital technologies to...
Sales Forecasting No enterprise these days can remain competitive and profitable without optimizing its short-term and long-term performance. Businesses from various industries and regions improve their long-term and short-term performance by estimating future sales accurately. The term sales forecasting refers to the process of estimating future sales of business with...
The businesses nowadays collect real-time customer data from various sources. The sales forecasting models help businesses to predict future demand for a product based on real-time customer data. Some models enable decision makers to estimate future sales based on information collected from sales representatives. At the same time, the businesses can use specific techniques to forecast demand by initiating market tests and conducting surveys.
Importance of Sales Forecasting for Businesses The demand for a product or service keeps changing from time to time. No business can improve its financial performance without estimating customer demand and future sales of products/services accurately. Sales forecasting refers to the process of estimating demand for or sales of a...
Advantages of Cloud Migration According to the Economic Times , “The worldwide public cloud services market is projected to grow 17.3 percent in 2019 to total $206.2 billion, up from $175.8 billion in 2018, according to Gartner, Inc. In 2018, Gartner forecasts that the market will grow 21 percent, up...
Python for Big Data While working on a big data project, the data scientists and application developers have the option to choose from a myriad of programming languages - Python, Java, R, SQL, Julia, Scala, C and MATLAB. But the latest usage statistics posted on multiple websites depict that a...
Android vs. iOS According to the McAfee Mobile Threat Report 2018, “Criminal quest for money could make 2018 the year of mobile malware.” The cyber criminals have been creating new malware by targeting major mobile platforms like Android and Apple. The mobile malware differs from each other in the category...
Private Cloud vs. On-Premises Businesses nowadays deploy their applications/services in two distinct environments – on-premises and cloud. When an enterprise opts for on-premises, the software will run on and the data will be stored in infrastructure located within its premises. It needs to create, upgrade, and scale the on-premise IT...
Cloud Migration Testing Strategy More and more businesses have been moving their applications and data to the cloud to avoid building and maintaining on-premise IT infrastructure. In addition to availing computing resources based on the pay-as-you-use pricing model, cloud computing further helps scale resources, improve data security, and accelerate disaster...
