Organizations are only starting to get to the place where they are able to strongly focus on data quality. This evolution is still only at its beginning. Until we harness the power of data quality into the hands of employees, data will struggle to become impactful in organizations.
When digital television was introduced in the United States, networks waited fifteen years to switch off their analog signals. Smartphone applications support generations of operating systems for years. Even leaded gasoline wasn’t phased out overnight.
The rapid growth digital transformation has changed the way companies do business. There are new ways to manage data, harness insights and engage customers are just some of the opportunities that digital transformation provides businesses.
As a customer yourself, you can probably relate to this: A Forrester survey found that customers’ biggest pain points in getting customer service was consistency and lack of agent knowledge. As consumers, we’re acutely aware of those pain points, but what are internal teams doing to solve the issue? 
To buy or build is a question many companies struggle with as they progress their digital transformation. In the past, “out-of-the-box” solutions used to be synonymous with rigid and inflexibility, so the concept of custom-built to exact specifications is enticing.
Data is the gold of the digital transformation – but only if knowledge can be generated from it. This is exactly the task that insight engines were designed to accomplish. Daniel Fallmann, founder and CEO of Mindbreeze, defines the six most important insight engine trends for 2019. 
Digitalization is increasingly impacting the healthcare sector. New products and services are making their way into day-to-day clinical practice or are offered as apps for patients. Dr. Adolf Sonnleitner from Mindbreeze highlights three developments that the industry will be focusing on in 2019.
AI and machine learning can be used to simulate processes and gain new insights into them. The new method of information acquisition and distribution resulting from this leads to real and measurable added value for companies. 
Using artificial intelligence, Mindbreeze is then able to provide the right information at the right time and in the right context to the right person.
Predictive maintenance makes it possible to detect possible defects at an early stage – even before an actual machine failure occurs – which translates into optimized runtimes and machine utilization, along with helping companies to save an enormous amount of time and money.
Intelligent tools can reduce the operational expenditure that arises from the staff’s day-to-day search for data and facts over the long term and support employees in their everyday work.

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