Unveiling Insights through Standardization
We live in a data-driven world where businesses face a wealth of information generated from various sources. However, much of this data is unstructured, making it difficult to extract valuable insights. Enter the concept of standardization: transforming unstructured data into a structured form.
Unstructured data refers to information that lacks a predefined data model or organization. It can include textual documents, social media feeds, images, videos, emails, and more. While unstructured data offers a vast volume of information, it poses challenges for practical analysis and interpretation. The lack of structure makes it difficult to perform systematic searches, comparisons and derive meaningful conclusions.
On the other hand, structured data is organized, categorized, and stored in a predefined format. It adheres to a specific schema, allowing for straightforward interpretation, analysis, and integration with other structured datasets. By transforming unstructured data into a structured form, organizations gain significant advantages regarding data accessibility, quality, and analytics potential.
Standardizing unstructured data brings order to chaos. When data is structured, it becomes easier to query, search, and retrieve information based on specific criteria. This allows analysts and researchers to quickly identify patterns, trends, and relationships, enabling them to make more informed decisions. Whether examining customer behavior, tracking market trends, or evaluating performance metrics, structured data simplifies the interrogation process.
Standardizing data
Analytics and data-driven insights play a crucial role in today's competitive landscape. Businesses can unlock the full potential of analytics tools and techniques by standardizing their data. Structured data allows for the application of statistical models, machine learning algorithms, and predictive analytics, enabling organizations to extract valuable insights that can drive business growth. Whether it's optimizing operations, identifying market opportunities, or improving customer experiences, structured data forms the foundation for effective analytics.
Data standardization facilitates seamless integration and collaboration between different systems, departments, and organizational stakeholders. Structured data can be easily shared, combined, and analyzed across various platforms, enabling cross-functional teams to work together efficiently. This fosters collaboration, promotes data-driven decision-making, and ensures a cohesive understanding of information across the organization.
Structured data provides a solid foundation for accurate analysis and reporting by eliminating inconsistencies, duplications, and errors. Reliable data empowers organizations to make well-informed decisions and reduces the risk of basing critical decisions on inaccurate or incomplete information.
Standardize Data capture with Kim
Using Kim, you can structure how you capture the information you need from clients, employees or suppliers. This information can then be used to create documents or records in your business systems without having to rekey it manually. Rather than having to deal with requests and attachments via email, information is received in a standardized, structured format that's easy to reuse and that can be pushed into other systems to be analyzed.
One of Kim's secret sauces and patents is that all of Kim's automations are initiated by an MS Word document that becomes a web application with integration capability. Essentially, Kim turns MS Word into an automation platform enabling enterprise web-based applications that can support powerful corporate documents and data flow.
The resulting solution is a sophisticated no-code form creation that combines document automation and assembly, enabling you to create suites of documents with powerful no-code APIs to push and pull the information in these documents in and out of your business systems without any rekeying.
Valuable information that is usually lost in MS Word documents, Excel sheets and emails is captured in a structured and standardized format. The data can be used in various ways and gives you complete oversight on how many contracts, agreements, quotes or requests are being received and precisely what information is going into them to help you make data-driven decisions, manage risk and reduce the admin burden on document-intensive tasks.
If you want to discover more about Kim and how we can help, get in touch.
Samantha Jefferies
Sam Jefferies is an experienced sales leader with more than 20 years in the IT and Technology industry. Having held various management and leadership positions in IT Sales & Marketing her experience stretches across many client sectors and includes many of the UK FTSE 100 and Global 500 clients. Sam found her way back into the LegalTech arena back in 2017 and has since worked at DocsCorp, Litera, Fliplet and currently, Kim Document, where she focuses on removing the complexity of document automation.
View All ArticlesTopics from this blog: Data Capture Rekeying Data