David Duijnmayer: ‘Roll-out of smart meters could be done a bit smarter’

AMSTERDAM (Energeia) – SynerScope, the software company that specializes in distilling knowledge from large amounts of data, is helping a network operator with the large-scale rollout of the smart meter. By linking different types of data, SynerScope can better and faster predict what is currently installed behind the front door. This way, the network operator can send the right technician with the right equipment.

SynerScope, around since 2011, is new to the energy sector. Until now, the company was mainly active in the financial sector and for insurance companies. Via Eindhoven University of Technology (TUE), where SynerScope originated, the energy network operators came to the attention of the software company specializing in big data. “The ‘big’ in big data is actually not that interesting,” says solutions engineer Thomas Ploeger of SynerScope. “We are particularly interested in issues for which different types of data must be linked. Even then there are still plenty of challenges for the network operators.”

The issue that SynerScope helped solve for this network operator is: how can you roll out the smart meter as smartly as possible? If a plan is made to offer the smart meter in a certain area, it is useful to know what a grid operator will find behind the front door: what kind of meter is there now, what kind of cabinet is around it, what kind of fuses are used and is there possibly asbestos present? “To answer those questions, a series of manual checks is still needed,” says Ploeger. “That takes a lot of time and is error prone.”

SynerScope will collect the information of interest faster and better by linking all the data that was first checked manually. In addition, photos taken by mechanics are used. These are clustered with the help of machine learning: photos showing the same equipment are placed in the same group, so that it is quickly visible whether there are many different meters in a certain area or whether there is great uniformity. “What we do is bring data together to optimize work preparation,” Ploeger summarizes.

Making a work schedule with the correct information, prevents any errors. “Specific training is required when removing certain fuses, and not all mechanics are in possession of that specific training”, Ploeger gives as an example. “It sometimes happens that upon arrival a technician is not allowed to do anything because he does not have the right papers. Good information also helps to plan the required time, so you know how many addresses you can schedule in one day.” According to Ploeger, a first test – in which the SynerScope method was compared with the results of the old, manual method – showed that 30% fewer errors were made.

Source: David Duijnmayer  |  david.duijnmayer@energeia.nl  |  June 15th, 2017

SynerScope is shaping the future with disruptive High Speed Big Data Analytics Technologies

SynerScope is shaping the future of Law Enforcement and National security agencies with disruptive High Speed Big Data Analytics Technologies.

The Netherlands, 12 June 2017. The explosion of crimes, terrorists acts and cyberthreats and the amount of data to collect and analyse to deal with those threats, create a new challenge to achieve maximum protection and anticipation.

SynerScope Ultra-Fast Big data Analytics appliances will provide unique analytics solutions, fast investigations/exploration to Governments, National Security agencies and Law Enforcement bodies with an efficiency, a speed and a price never delivered to date in the market.

SynerScope data science and predictive analytics technologies help Analysts in storing, processing, analysing and do quick findings in large amount of structured (geo location, air traffic data, sensors data, license-plate readers, travel and credit-card records) and unstructured data (text documents, message traffic, phone data, social media data, speeches, images…).

Speed is achieved without the need of any upfront data modelling and cleaning. Cost efficiency is achieved using mass storage on a Hortonworks Hadoop Data lake.

This new market of mining billions of records of structured and unstructured data and crunching the data to find crucial clues, is pushed by intelligence and law enforcement agencies to use big data technologies to find suspicious activities  and predict crimes or terrorist acts before they happen. According to research firm MarketsandMarkets, the market for those new technologies is estimated to reach $9.2 billion by 2020, up from $3 billion in 2015.

About SynerScope

SynerScope, the next generation platform that provides analytics solutions to help discover critical insights from massive amounts of data, including dark data, and turning it into useful information and insights. SynerScope combines Scientific Visualization Technologies (MRI scanner), ultrafast predictive analytics and machine learning on top of its proprietary enterprise data navigation, -search and -linking.

This technology stack provides enterprises high speed detection of abnormal behaviours and anomalies in complex data. SynerScope operates in the following sectors: Banking, Insurance, Critical Infrastructure, and Cyber Security. Learn more at synerscope.com.

Synerscope has strategic partnerships with Hortonworks, Nvidia, IBM, SAP and Dell.


Marieke Beijsens

+31 (0)6 2364 4933

Email: marketing@synerscope.com

GERRIT VAN DIJK AWARD for Stef van den Elzen

Dr. ir. Stef van den Elzen, VP Engineering at Synerscope, has won the Gerrit van Dijk Award for Science 2017. One of three Dutch Data Science awards, the Gerrit van Dijk award goes to best Phd thesis by a researcher who graduated between January 2014 and January 2017. Stef has won with his thesis on interactive visualization techniques as part of a successful collaboration between the TU/e and SynerScope.

The Dutch Data Science Awards are an initiative of the Royal Holland society of Sciences and Humanities (KHMW) and the Big Data Alliance (BDA). The festive ceremony took place on June 8, 2017 in the Hodshon House in Haarlem, The Netherlands.