While cloud computing made big leaps in the past few years emerging as a conventional business tool, at the same time, several myths came forward which haven’t been deflated yet. Though these myths may not be very harmful, yet they affect our methods of approaching solutions.
The Dos and Don’ts of Data Integration
In the past 10 years, several enterprises have been deploying some or the other sort of data integration technology. While some enterprises believe that they have the problem of data integration solved, others don’t. Data Integration is a dynamic process and needs to be carefully planned and executed depending upon the frequently changing technology.
Big Data and Search
We exist in a digital world today. Digitization is the new norm of the present which causes an explosion of the quantity of unstructured and structured data formed, shared and stored simultaneously. The generated data is contributed through not just digital media, transactions, and business domains but also via individuals. For example, people share 30 […]
The Big Data phenomenon will be answered by an integrator
Collection and management of big data is about having a mechanism to handle high variety and large volume of data, as well as handling data at high velocity. Organizations are already taking advantage of data from variety of sources, including social sites, third party systems, global partners, Web tools such as Google Analytics, ERP systems […]
Demystifying Big Data (Part 2)
In my last blog I spoke about how we can leverage Big Data for various business operations from human resource management to supply chain management and marketing initiatives.Moreover I spoke about how to leverage Big Data tables like Cassandra to enhance the capability of customer relationship management systems. Now moving one step ahead we need […]
Finding What to Sell Next to your Customer
You need what marketers and data miners call – Market Basket Analysis. My last blog described finding similar-looking customers using Cluster segmentation. This blog will provide an introduction to Market Basket Analysis. Why care about DBSync talk about this concept. We believe that centralizing data from CRM, Social & Accounting can provide data for mining […]
Demystifying Big Data
Demystifying big data is something which we feel is necessary as organizations are apprehensive of trying their hands at Big Data because of the darkness hovering all around it.Either organizations are skeptical of the investment involved in leveraging Big Data or the right way of using the enormous repository and make business sense out of […]
Using Cluster Algorithm for Customer Segmentation
How is Cluster Algorithm like K-Means clusters used for Customer Segmentation? Data and information relating to customers can come from a variety of sources but all can be input into a company’s data store and then analyzed to make necessary conclusions. Such data stores used to collect data and information include Big Data and relational […]
Is Big Data for Small to Mid Size Businesses?
Today, the least a successful business needs is information that can help them tailor products and services to suit and appeal to customers. There is increasing need for collection, analysis and management of customer-related information, supplier and partner information in order to expand market share. Companies also need to monitor and improve their performance, improve […]
Turning Data Mining into a Gold Mine
In previous posts I’ve defined and described Big Data. In this blog, I’m going to introduce a term just as important…Data Mining. In simple terms, Data Mining is effectively defined as “Sifting through very large amounts of data for useful or appropriate information”. This is designed to be a very elementary description of data mining, but if […]
