Data Visualisation and your company

Data Visualisation is the use of visual elements like charts, graphs, and diagrams to represent data. This makes the information easier to understand and interpret. It helps you identify patterns and trends, and these, in turn, help you make good decisions.

Financial analysts, healthcare providers, marketing companies, social media platforms and government agencies all depend on Data Visualisation to improve and make decisions using data. But regardless of the size or type of business you run, you can benefit from making your data easier to understand. Let’s talk about why Data Visualisation works, why it is so important, and how you can use it to your advantage.

Data Visualisation can be an incredibly valuable tool for your company. Use it to:

1. Make better decisions. A graph or an image can show you patterns, trends, and insights that may not be obvious in raw data. This lets you take all factors into account when making a decision.
2. Save time. Instead of spending hours poring over spreadsheets, Data Visualisation tools can show you everything you need to know at once.
3. Communicate better. Make your business meetings shorter and more effective. Presenting data in a visual format makes it easier for stakeholders to understand the data and its implications.
4. Show transparency. Data Visualisation can help you be more transparent about your operations and performance. Presenting data to people in a clear and accessible format builds trust and demonstrates accountability and transparency.
5. Get a competitive advantage. Companies that use Data Visualisation to analyse and communicate data effectively have the edge over those that don’t. They continuously improve their performance and gain a greater understanding of their customers and markets.

Overall, Data Visualisation can help you save time, make better decisions, communicate more effectively, build trust, and gain a competitive advantage in your industry.

Data Visualisation can help you map and understand your organisation’s data structure. Use graphics and diagrams to see relationships between different data elements and how they are organised within your storage and systems. Here are a few examples of Data Visualisation tools that can help you map your company’s data structure:

• Entity-Relationship diagrams: Use shapes and lines to represent different entities in your database and the relationships between them.
• Data flow diagrams: Show the flow of data between different processes and systems in your organisation.
• Tree diagrams: Illustrate the hierarchical structure of data, such as the different levels of a folder structure.
• Network diagrams: Show the connections between different data elements and systems within an organisation.
• Heat maps: Use color-coding to show the frequency and distribution of data elements within an organisation’s database.

These maps, images, and diagrams will let you visualise your organisation’s data structure. Spot data quality issues and understand how data is used across different departments.

Having eyes on your data is key to effective data protection. You need to know where you store confidential data, who has access to it, and how long you keep it. This is where Data Visualisation can help. Try using Data Visualisation for the following special categories of data:

Personal and sensitive data
One of the key requirements of GDPR is to keep a record of how you collect, process, protect, and share people’s personal data. Creating visual representations of this information makes it much more meaningful. This will help you see how data really flows through your company, identify potential privacy risks, and correct them.

Storage limitation is one of the core principles of data protection under the GDPR. This means you cannot keep personal data endlessly. Rather, only keep personal data for as long as you need it for the purposes for which you collected it. Charts and graphs showing how long you’ve kept different categories of personal data can help.

GDPR also requires organisations to report data breaches to authorities and affected individuals within 72 hours. Data Visualisation can be used to quickly identify the extent of a data breach and the types of personal data that may have been compromised. This makes it easy for you to respond quickly and effectively to the problem.

Intellectual property and trade secrets
Keep track of your valuable intellectual property (IP) assets and protect them. Data Visualisation can help you understand and track patents, trademarks, copyrights, trade secrets, and any other forms of intellectual property. It can also let you see how people access and use IP within your organisation.

First, look at who has access to your IP. Then, ask yourself, does everyone need access to all that data to do their jobs properly? Finally, set up proper access controls.

NDAs, contracts, and agreements

Naturally, you need store copies of all the contracts and agreements you make with clients, vendors, suppliers, partners, and employees. These documents may include terms and conditions, service-level agreements, non-disclosure agreements, and licensing agreements. All of this is confidential information. Protecting it protects all the parties involved, including you.

But are you familiar with all the agreements and contracts you’ve made over the years? Data visibility makes it easier to keep up with your agreements and their terms. It can also help you protect them by setting access controls. Finally, Data Visualisation makes it easy to identify contracts and agreements that are no longer valid. In some cases, you may want to eliminate expired documents to protect the private information they contain.

DataMapper lets you monitor all your company’s data from one dashboard. Whether it’s personal and sensitive data, intellectual property and trade secrets, NDAs, contracts, and beyond, DataMapper finds it all. This really gives you a picture of your data structure. See who has access to the data, where it is, how long you’ve had it, and more. For extra analytics and visual tools, integrate DataMapper with PowerBi.