Securing Your Data at Every Level: Introducing Rubisight’s Data Level Security

Securing Your Data at Every Level: Introducing Rubisight’s Data Level Security

In the digital age, data governance and security have emerged as paramount concerns for organizations across industries. With the proliferation of data breaches and regulatory requirements, safeguarding sensitive information and ensuring compliance has become more critical than ever. Recognizing the importance of data governance and security, Rubisight, Rubiscape’s flagship data visualization platform, offers robust features designed to fortify your data infrastructure and protect your most valuable asset—your data.

Why Data Level Security is needed-?
Data Level Security is a fundamental aspect of any comprehensive security strategy, focusing on protecting data at its most granular level. By implementing Data Level Security measures, organizations can control access to sensitive data, enforce privacy policies, and mitigate the risk of unauthorized access or data breaches.

Using Data Level Security-

  1. RubiSight provides a Data Level Security feature, which helps to restrict access to the data in dashboards.
  2. You can define column-level access on the database, which will show data of only the allowed columns.
  3. To use Data level security, you first need to create a dataset (access master) that stores the information about users and groups and the corresponding data fields they are allowed to access.

Creating Access Master Dataset-

  1. To create an access master dataset, follow the steps given below.Create a CSV or Excel file of the format: user info and names of columns from the datasets used in the dashboard.
  2. In each individual dataset column names, specify the names of data values to which access is to be granted to the user.

Security
Security1920×1080 207 KB

Enabling Data Level Security-

  1. Locate the dashboard to which you want to apply data-level security.
  2. Open the Dashboard in edit mode.
  3. The Dashboard is displayed. On the function pane, in the top right corner, click Data Level Security. Data Level Security page is displayed.
  4. Select the dataset from Dataset To configure drop-down. Here, select the name of the dataset created in Creating Access Master Dataset. The columns in the selected dataset are populated.
  5. Select Entity Column (the one that has user names or group names) from the drop-down.
  6. Select ENABLE DATA LEVEL SECURITY checkbox.
  7. Click Done.

Data Level Security
Data Level Security1920×1080 296 KB

Live Example-
Here, the user pritesh.surolia@inteliment.com has the access to all the product category.

Example 1
Example 11920×1080 328 KB

Here, the user Hrishikesh.shirodkar@inteliment.com had the access to only 4 product categories, which can be observed in the image.

Screenshot 2024-02-14 144907
Screenshot 2024-02-14 1449071920×1080 290 KB

In conclusion, Rubisight’s Data Level Security features provide organizations with the tools they need to secure their data at every level, from row-level and column-level access controls to dynamic data masking and seamless integration with authentication providers. With Rubisight, organizations can confidently leverage the power of data visualization while ensuring the confidentiality, integrity, and availability of their data assets.

    • Recent Topics

    • I have a doubt

      What are the differences between supervised and unsupervised learning?

    • Building structured data storage strategy for Things data

      IOT data packets are generally dependent on the sensors, devices ,gateways, systems that generate them. Also this data can be structured or unstructured. For the sake of this post lets talk about structured data and challenges to build a mechanism of

    • About the RubiStudio category

      This category consists of all topic discussions related to data preparation & modeling, machine learning, forecasting, textual analytics, and Pro Code possible with RubiStudio.

    • Quick Use of Data Dictionary and Workflow

      Data Dictionary: With the use of pre-existing datasets, a new data dictionary can be produced. It enables you to create new datasets while reusing the existing ones and incorporating new features. By leveraging the preexisting datasets, the Data Dictionary

    • Flow of Information using Sankey Chart in RubiSight

      A Sankey chart, also known as a Sankey diagram or flow diagram, is a type of data visualization that represents the flow of resources, energy, or other quantities between multiple entities or categories. It is often used to visualize the distribution

    • Securing Your Data at Every Level: Introducing Rubisight’s Data Level Security

      In the digital age, data governance and security have emerged as paramount concerns for organizations across industries. With the proliferation of data breaches and regulatory requirements, safeguarding sensitive information and ensuring compliance has

    • Infographics and Specialized Widgets: When to Use, Best Practices, and Limitations

      RubiSight widgets, also known as charts, are the building blocks of visual data storytelling dashboards within the Rubiscape platform. They are essentially visual representations of your data that help you explore, understand, and communicate insights

    • How to include drill-down to details option?

      Question - For example, I have 10 records. 7 of which are ok, 3 are not ok. On dashboard I want to show count and aggregated values for 7 and 3 respectively. And details of 3 or 7 records should be available on user demand. There are two ways to drill

    • Use of HTML for Bookmarking in Rubisight

      What is bookmarking? How do we achieve it using Power BI? Bookmarking is a common feature in various data visualization tools, and it generally refers to the ability to save and revisit a specific state or view of a report/dashboard. This feature allows

    • Rubisight Filters Explained: Finding Insights Faster

      Rubisight filters help you focus on specific data within your dashboard, making it easier to spot trends and gain valuable insights. Here are the three main types: 1. Global Filters: Apply the same filter criteria to all pages on a dashboard. Useful for

    • Banking Analytics: Reimagining the Way Banks Do Business

      Created a Comprehensive dashboard on Banking Analytics. With banking products becoming increasingly commoditized, Analytics can help banks differentiate themselves and gain a competitive edge. This dashboard showcase trends that help management in decision

    • Rubisight Overview - Key Functionalities

      Find the dashboard used in Rubisight Overview Session. This dashboard demonstrated most of the functionalities in Rubisight platform. The funcationalities used in the dashboard are as follows - Data Dictionary used for Rubisight dashboard creation. Calculated

    • LeBron James vs. Michael Jordan: The Greatest Debate in Basketball History

      My new Viz on Rubisight Shapes - This entire dashboard is prepared based on shapes and filters. The debate over who is the greatest basketball player of all time, LeBron James or Michael Jordan, has captivated fans and analysts for years. Both athletes

    • Outlier Detection

      Outlier Detection Description Outlier Detection reveals the extreme values that deviate from the rest of the data in a real-world dataset. Why to use Numerical Analysis – Data Preparation When to use When there are certain values in the data which significantly

    • Hardik vs Rohit - An Inhouse Rivalry!

      The Big Debate - Hardik vs Rohit ---- Mumbai Indians are already out of the IPL and whose fault !!! Is it Hardik ??? The news sources are debating on the two former Indian Player, is it a correct debate ? image723×712 181 KB Find the stats in Rubisight

    • How to convert the data type for a specific data point in Rubiflow?

      In Rubiflow once the data node is processed, you can use an expression from the Data preparaion function (Data integration) and connect to the data source node. In that you will be able to see a functions on the left side - “Convert”, through this functionality

    • Welcome to Community

      The Community hub inside Zoho Desk lets you build a powerful community around your business, while still serving customers via other channels. Your customers can post 4 types of content within your community. These are Ideas, Questions, Problems and Discussions.