How to Address 5 Common Content Management Issues?

What is a content management system? This is a program that allows individuals to develop, manage and edit online content without needing specialist technical skills. Today, many organizations are still failing to realize the promise of content management systems for business, making material open and accessible across the industry and improving business outcomes.

It is not an easy task with many kinds of documents and formats entering from various sources inside and outside the business. Most firms have multiple content repositories, resulting in information silos that are hard to break down.

Here are some of the most common content management problems and how to overcome them

Setting up and Running Capture Systems Require Expensive Technical Expertise

Business analysts should have both business intelligence and technology to boost enterprise operations. However, many business analysts must enlist the help of technical professionals to construct the system templates required to identify each new document type, compromising their efficiency, productivity, agility and capacity to give the best possible customer experience.

You can use the current generation of artificial intelligent enabled capture services to solve this problem. This will eliminate the need for templates. These innovative systems are simple to configure and upgrade after the initial launch, reducing the requirement for technical assistance and accelerating time to value.

Extracting and Classifying Data from Unorganized Document Formats like Contracts, Communications and other Corporate Documents is Costly

From straightforward, structured forms to free-form wording on a page, documents come in various layouts. If you process structured forms in regulated formats, you're only getting a fraction of the benefits of automation. Handling unstructured, free-form document layouts requires manual processing, which is expensive, time-consuming, and prone to errors.

To solve this issue, use non-traditional data extraction and classification resolutions that allow you to take out and categorize data from both unstructured and structured documents, allowing your personnel to focus on more critical tasks.

To Keep Up with the Demand for Document Processing, Many Companies have to Install More Servers

Suppose you present your data capture application on your own servers. In that case, you will need to invest extra money to install more servers to avoid building up a backlog of valuable, unprocessed data.

When the need for document capture grows, use a scalable cloud document processing service. The cost of deploying and managing servers on-premises reduces when you use a cloud-based solution.

Organizations Lack Automated Methods for Classifying and Indexing Sensitive or Protected Material in Documents Before Sending them to the Content Management System

Suppose you apply some basic metadata and a document number to new documents as you add them to your repository; you risk exposing sensitive or personally identifiable information (PII), resulting in a fine or worse.

To solve this challenge, look for software that allows you to mark data as sensitive or protected so that it is redacted or sent to specific streams. This protects your company from non-compliance risks and enables you to respond quickly and confidently when new compliance standards change.

Companies Have Many Documents in Repositories but Lack the Mechanism of Availing them for Analytics by Bata Scientists

Data scientists can’t use their methods on TIFF image files that have limited metadata. Manually typing the data isn't cost-effective, so you'll need a technique to extract significant data from documents and deliver it in a format that data modeling systems can recognize.

It is important to understand the features of a content management system. To better realize the full advantages of a content management system;


● Look for a solution that satisfies your needs.
● Can handle a variety of document types, formats, and layouts
● Uses innovative data extraction techniques like key-value pair matching and full-page optical character recognition (OCR).
● Can export to a common JSON format across all document types

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