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Real-time Insight in All Data, Present and Past

The promise of data-driven working is great: risk-based inspection, finding new revenue models, reducing costs and delivering better products and services. Every company wants this, but it often fails.
The most important business data cannot be fully unlocked by traditional analysis tools. Why does it go wrong and how do you manage to convert all data into insight?

The more you know, the more efficient and better you can make your products and services. That is why data-driven working is high on the agenda of many organizations. But an Artificial Intelligence or BI tools deliver, only partially or not at all, on the promise of data-driven work. That’s because they can only analyze part of the entire mountain of data. And what is an analysis worth if you can only examine half or a quarter of the data you have.

Insights are hidden in unstructured data

Many organizations started measuring processes in ERP and CRM systems over the past 20 years. They store financial data, machine data and all kinds of sensor data. These measurement data are easy to analyze, but do not tell where things go wrong during the entire operation.
This so-called structured data provides only partial insight, while you look for answers in the analysis of all data. It is estimated that 80% to 90% of all data from organizations is unstructured: we are talking about uncategorized data that stored in systems, notes, e-mails, handwritten notes on work-drawings and all kinds of documents across the organization. This valuable resource remains unexplored.

The unexplored gold mine of unstructured data

Organizations have terabytes of it: project information, notes, invoices, tenders, photos and films that together can yield an enormous amount of insights. This fast-growing gold mine is more of a data maze. Over the years, digitization took place step-by-step, process-by-process and department-by-department. During this digitization in slow motion, no one thought that it was useful to coordinate all information in such a way that you can easily analyze it later.

Artificial Intelligence and BI tools get lost

Departments of factories, offices or government agencies created their own data world through this so called ‘island automation’. Separate silos of application data, process data such as spreadsheets, presentations, invoices, tenders, and texts in all kinds of file formats. Moreover, departments and people all categorize information differently, and not structured like a computer would. Not everyone administers equally neatly, or categories are missing, so that colleagues simply write a lot of data away in the “other” field. The problem is that BI and AI tools cannot properly look into this essential and unstructured information. They lack signage, so they get lost in the maze of unstructured data.

Turning archives into accessible knowledge (and skills)

For many companies the future lies in the past. Because most organizations have boxes full of archived material from the pre-digital era, they are now digitizing at a rapid pace. Decades of acquired knowledge and experience are stored but hidden in these archives. Because, like many digital files, these are not well structured. Who categorized their project notes or files neatly into different categories, if they were available at all? If you want to use this unstructured data now, it will take you hundreds of hours of manual work to analyze. SynerScope’s technology searches terabytes or petabytes of data within 72 hours and provides immediate answers from all data.

Unstructured data harbor new revenue models

How that works? A non-life insurer did not know exactly where 25% of their insurance payments went. That is why SynerScope automatically examined the raw texts of millions of damage claims of the last 20 years. The word broken screen came up immediately for claims above 100 euros. The graph showed that screen breakage was rare until 2010, but then grew explosively. What happened? The insurer had never made the category of smartphones or tablets. As a result, they missed a major cost item, or to put it positively: for years they overlooked a new revenue model.


Turn data into progress

Thanks to the power of cloud computing in Azure, SynerScope is able to analyze large amounts of data in real time. And it doesn’t matter what kind of data it is. Spreadsheets, meeting minutes, drone images, filing cabinets full of invoices, you name it! Do you have hundreds of terabytes or even petabytes of satellite or drone data? Then it will be in the model tomorrow! Thanks to the analysis of the present and the past, organizations with SynerScope’s software live up to the promise of data-driven working. Leading companies such as Achmea, ExxonMobil, Stedin, VIVAT and De Volksbank are converting their data into progress with the solution from SynerScope.
Do you also want insight into your present & past to get a grip on the future?
Then request a demo!

Inspired by Inspire

Some take-aways from Microsoft Inspire 2019

What’s happens in Vegas should not stay in Vegas…. Microsoft Inspire is one of the major events for the global data community. It is exciting to learn about the developing vision of Microsoft as the leader in all things data for everyone.

From 14-18 July, 2019, Microsoft Inspire invited its partners from over the whole world to Las Vegas. As a Microsoft Partner, we were there to learn, network, do business and have fun with other partners and the Microsoft solution specialists, managers and senior leadership. We will share our experiences and thoughts with you in a series of blogs.

In his keynote Satya Nadella, CEO of Microsoft, covered the increasing intensity and impact of tech to society. Gaming, modern home and workplace, business applications, IoT devices, AI and Machine Learning…  this tech intensity changes the way we live and work. One thing is for sure: we have become data-driven and data will rule the world “That’s what’s leading to us building out Azure as the world’s computer. We now have 54 data center regions.” (Nadella Quote)

To facilitate the new world of data, Microsoft works on the creation of a ‘limitless data estate’ based on Azure Databases and Azure Analytics. Limitless in scale, variety and place: in the cloud and at the edge.

Nadella propagated the democratization of AI and of app development. AI will expand to the many sorts of apps, services and devices that we use in daily life. Consumers and workers will benefit from the help of their digital environment in their doing and decision-making.

All those emerging innovations need to be created. Nadella forecasts that 500 million apps will be built in the next 5 years, more than we saw emerging in the past 40 years. But who makes them? One of the growing pains the digital transformation our society is going through, is the increasing shortage of application developers.

Citizen development, by ordinary users who build and then share their applications, will help to meet this huge challenge. The tools for easy and no-code development are here to stay. This allows everybody to become a developer.

Big Data is Dead, long live Big Data AI.

Nadella’s keynote was also about the big numbers. Of connected devices (50 billion in 10 years time), of users (3,2 billion worldwide at the end of 2019) and – of course – of data. To illustrate the scale of the data explosion: 90% of all data is created in the last 2 years! And mind this: 73% of the data (old and new) still needs to be analyzed.

This leads to a growing ocean of dark data with hidden treasures beneath its surface. You only need to find them and bring them to the surface! And exactly that’s where Synerscope comes in: we can help to create value by accelerating and optimizing the safe and controlled exploration and exploitation of your data. As Gil Press noted in Forrester early July: Big Data is Dead, long live Big Data AI.

In our next blog we will explain how to deal with the ocean of dark data in a safe and cost-effective way. Stay tuned!