After the festivities of the new year, the team has been working on deploying Reifier on the Databricks cloud. Databricks provides a unified analytics platform with a fully managed Spark service. Some of our newest customers run massive analytic and predictive workloads on the Databricks Cloud. They want the ability to run Reifier from within their data processing pipeline – building 360 views, removing duplicates, understanding relationships and consolidating accounts. Reifier was architected from the grounds up to be Spark application, and we had spent our effort to be Apache Spark Certified. As Databricks platform provides an optimized Spark environment, minimal changes around the creation of SparkContext were needed at our end to make the transition.
We are happy to announce that we have tested Reifier on the Databricks Platform. Reifier has always supported multiple deployment models, enabling enterprises to master their customer, vendor, location, employee and other data seamlessly on an infrastructure of their choice – AWS/Azure/Google Cloud/Data Centre. With Reifier on Databricks, we provide our customers yet another option and flexibility.Posted on February 5th, 2018
Wishing you all a very happy, healthy and prosperous new year! Hope the new year brings in new joy and successes. May unified data lead you to greater customer acquisition, enhanced compliance and operational efficiency and smoother mergers and acquisitions!Posted on December 28th, 2017
Effective selling means knowing your customer, understanding their pain points, learning their journey and helping them achieve their goals. (more…)Posted on May 1st, 2017
As a company, we are committed to building tools and techniques that enable our customers make informed choices by utilizing and maximizing the value of their data assets. Business is tough, conditions are hard, but we want to make sure that we make a difference to your bottom line. Here is the first tip of the series, stay tuned for simple techniques, analysis and tips for better business..Posted on April 30th, 2017
Kudos! Reifier got covered in Analytics India Magazine – the number one platform analytics, data science and big data, dedicated to passionately championing and promoting the ecosystem in India.
Read the full story here
Posted on April 30th, 2017
..Or rather – the golden record, the one single version of the entity record which combines data from different sources and the most trusted piece of information about the entity.
When we started working with Reifier, we were very heavily focussed on the matching, and we worked tirelessly to make it the absolutely easiest, fastest and accurate matching engine on the planet. We got some rave reviews, and also tuned the technology on diverse customer data sets – uncovering some beautiful record linkages and matches over languages, multi domain entities and locale specific data.
Our earlier users had simple merge functions – last updated record or source system specific. However, over the last few months, detailed discussions have led us to uncover some deep challenges in defining and maintaining merge rules. We think its time for some disruption – watch out this space as we fill in more details on the ideal merge.Posted on April 14th, 2017
I recently subscribed to an email newsletter from one of most popular investment magazines in India. Somehow I subscribed to the same newsletter at two different places on the website, giving the same email address at both places.
The result of this dual request is that I get two copies of the same email every time they send out a post. Thanks to Gmail, which consolidates the emails in the same thread, I have to read only one of them and can delete/archive both
of the mails with the same button click.
I know it is good for the magazine to have a large subscription count and sending out an additional email doesn’t cost much, but working with duplicate customers in their subscribers list gives a false count of subscribers leading to bad marketing and sales decisions. Also, from the customer’s point of view, receiving multiple copies is an irritant and gives a bad impression to the magazine.
In this case, minor focus from the management by deduplicating customer records can lead to quick rewards in knowing the customer and also better reputation in the eyes of the customer.Posted on April 14th, 2017
A recent customer success story made us very happy, and proud of our work. We were working through an evaluation of fuzzy matching individual names with multiple variations – typos, field swapping, case differences, missing parts of the name etc. We trained our machine learning record matching model (more…)Posted on April 6th, 2017
We got Reifier application certified on Apache Spark, which means that Reifier can work with different distributions of Apache Spark with ease.
Also happy to get covered at the Databricks blogPosted on December 20th, 2016
Understanding entities and their relationships is the core of any security, surveillance and intelligence operations. By using Reifier, intelligence agencies can discover the people entity graph, and decipher hidden (more…)Posted on November 29th, 2016