The Context Behind the Context of Information Management

 

Exploring the importance of context in the modern information management arena for better results and growth


The significance of precise, scalable information management in today's data sprawl is critical. Organizations must adopt a dynamic information management approach to establish the groundwork for the business to obtain greater value from their data, whether for analytical and strategic business goals or to ensure data security and compliance. 


However, the traditional information management practices lack context, are noisy, and are unreliable these days. The primary reason is that data is not categorized and labeled consistently in this method. Instead, users need to manually tag, label and categorize the data, which is time-consuming, error-prone, and hinders grasping the links between the data pieces. 


For example, without the context, it would become extremely difficult to determine if the term Paris in your data is associated with the capital city of France, a city in Idaho, Illinois, or Kentucky, or the famous socialite. Staying in Paris, a seven-digit number starting with 217 could be associated with Paris, Illinois, USA, or a bank account number in France.


To reiterate, information management is critical for all organizations to fulfill their objectives while also ensuring data security and data privacy compliance. As a result, context is critical in data classification too. And that is delivered by analyzing the data based on content, context, and metadata. Where content constitutes the document's body text, such as the email body, the metadata contains the data about the data such as the file creation date, subject line, etc., while the context consists of the relationships between the documents, such as social or legal. And an analysis report derived from such an information management solution can precisely help determine whether the mention of Paris is regarding the bank account in Paris, France, or the landline number of a friend in Illinois. And you cannot do all of it manually any longer, not with the rate at which data expands and the definition of sensitive data changes.


Therefore, you need an information management and analysis solution that analyzes the data based on content, context, and metadata. A solution that reduces duplicates identifies risks and defensibly deletes what needs to be deleted – further decreasing the confusion associated with Paris. An automated solution that works based on policies designed and governed by you and fast. All of it while giving you centralized control over your data and covering all the silos in your organization simultaneously.

Comments

Post a Comment

Popular posts from this blog

How Financial Services Sector Can Reduce Costs and Time in Operations

Since the global financial crisis of 2008, bank profit margins have remained considerably low in the United States and other advanced economies. One of the biggest reasons is that the expenses have been outpacing revenues and, especially in Europe, the average return on equity of banks has dropped to undesirable lows. Furthermore, regulatory compliance and high levels of expenditure due to the suddenly remote workforce and increased risks due to defaults, insurance claims, client insolvency, and other factors added to the pressure. Therefore, the financial sector must act fast to increase profits, or be forced to continue laying off staff, which reached half a million last year, since 2014.  The profits can be increased in many ways, such as streamlining offerings, digitizing processes, seeking low-cost organic growth, and scaling up through mergers, acquisitions, and partnerships. But apart from increasing the profits, cutting costs can also help the financial services industry b...
Read more

The Role of a Compliance Strategy in Mitigating Cyber-Attacks

  Discussing why, now more than ever, privacy compliance procedures are required to combat cyber-attacks Cyber-attacks are not uncommon in today's day and age. However, because of the COVID-19 pandemic, cyber-attacks have skyrocketed, with some reports suggesting a 600% rise . At the same time, some anticipate that IoT cyber-attacks will double by 2025. And, with a 0.05 % rate of detection (or prosecution) of such attacks in the United States, it is difficult to conceive the devastation produced by even a modest increase in attacks. So, what do we do? Create a systematic compliance effort for your company. A structure that ensures, at the very least, the following: Having a Comprehensive Compliance Strategy Many businesses do not have a centralized plan in place to ensure data privacy compliance that is simple yet comprehensive, integrated, quantified, and centralized. This may be achieved by developing a high-level set of principles and documents that outline the measures t...
Read more

Traversing Through eDiscovery Data Sources Amid the Hybrid Work Environment

  A look at eDiscovery data sources, the issues they provide in today's hybrid work environment, and possible solutions The COVID-19 pandemic unleashed a tsunami of new technologies, software, procedures, methodologies, and upgrades to old ones, allowing the world's suddenly remote workforce to interact and collaborate more effectively . Meanwhile, cloud service providers saw an unprecedented increase in product utilization since businesses now require it more than ever. However, after almost two years, as we transition from completely remote work culture to a hybrid or back-to-office work culture, companies are yet again struggling. This time, the concern is the ever-increasingly complex regulatory compliance environment. And it only requires more severe and strong systems and procedures to cater to the massive surplus of eDiscovery data sources generated recently. Amid this chaos are the legal professionals, specifically the eDiscovery and compliance teams. They are entrust...
Read more