Bad Data, Data-Centric Security, Health Data, Data Security, Location Data, Data & Profitability

This week, we begin with an article explaining bad data, its impact on organizations & the use of deep learning & APIs in solving the issue. Next, is an essay considering the new regime of data-centric security being adopted by organizations for cybersecurity with cloud-based analytics. Then, we have a report on health information exchange (HIE) highlighting multiple systems as the significant barrier leading to high cost, complexity, & burden in information exchange. Following that, we have a piece outlining the importance, key elements, and procedure of creating the data security policy. Next, is a story about the UK’s policy reflecting the rising strategic value of location data as a national asset for leveling up, achieving net zero goals, & spurring research and technology innovation. Lastly, we have an article focusing on financial institutions decision of embracing digital transformation & leveraging data to achieve competitive advantage.

Solving “Bad Data” — A $3 Trillion-Per-Year Problem

Data quality is still a struggle for many enterprises, and new types of data and input techniques are adding to the burden. Jonathan Grandperrin, CEO of Mindee, explains the impact of bad data and how enterprises can use deep learning and APIs as part of their “good data” strategy. Bad data is incorrect or even inaccessible information that exists within the enterprise. Although it has always existed, what has changed in the past five years is the effect it can have on an organization’s well-being.

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How Data-Centric Security Unlocks Value From Cloud-Based Analytics

Across the globe, companies are tapping the power of data analytics to drive agility and growth. They’re creating new business models, unleashing innovative products and services, and deriving new insights to help target customers more effectively and streamline business processes. In order to do so, many are turning to data warehouse and analytics platforms like Snowflake, Amazon Redshift and Google BigQuery.

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Health Data Exchange Barriers Impede Widespread Interoperability

Widespread interoperability among office-based physicians is lacking due to a number of health data exchange barriers, according to a recent ONC Data Brief. The report used 2019 CDC National Electronic Health Record Survey data to evaluate health data exchange and interoperability between office-based physicians across the nation. This is the most recent year for which ONC has complete data.

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How To Create A Data Security Policy, With Template

Data security policies are often confused with information security policies. The latter typically focuses on all aspects of information security, including equipment, applications, employees, vendors, and other internal and external resources, in addition to data. By contrast, data security policies focus specifically on protecting data, databases and related data content. Creating and implementing an enterprise data security policy are critical, as is updating it regularly and when needed.

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How Can Location Data Be Used As A Strategic National Asset?

As the government’s priorities for the UK advance in opportunity, urgency, complexity and global reach, it is no coincidence that the demand for location data is increasing. As the UK’s policy agenda focuses on economic growth, environmental sustainability and social opportunity, delivering through key strategies, such as levelling up and net zero, location data is increasingly at the heart of decision making. 

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Why The Road To Profitability For Financial Institutions Is Data-Driven

As legacy-bound institutions, it’s unsurprising that financial institutions remain behind the curve when it comes to digital transformation. Over the past two years, as banks and credit unions have worked to manage a complex and unpredictable economic landscape, many digital transformation efforts were refocused on digital consumer-facing products. 

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