Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: 5 Things Every Company Should Do to Cover Their Assets
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Quality > 5 Things Every Company Should Do to Cover Their Assets
Data Quality

5 Things Every Company Should Do to Cover Their Assets

infogix
infogix
5 Min Read
Image
SHARE

ImageBig data breaches, stolen credit card information and leaked personal data. When it comes to protecting your customers, how effectively and efficiently are you keeping a lockdown on your greatest assets?

ImageBig data breaches, stolen credit card information and leaked personal data. When it comes to protecting your customers, how effectively and efficiently are you keeping a lockdown on your greatest assets?

It’s called data governance, and having an operational strategy to maintain the integrity of an enterprise’s information is crucial. Newspapers and websites are currently filled with headlines about the latest breach of personal data or slew of stolen credit card information, meaning major corporations need to take another look at protecting their customers and their data.

Cancelling a stolen credit card is one thing, but when information like customers’ birthdays, social security numbers, addresses and personal health information and records are compromised, companies and consumers are facing a much bigger problem.

More Read

data visualisation
How to Overcome Data Visualisation Problems
5 Tips for Protecting Your Data Assets More Effectively
Learn from Carnegie Mellon’s School of Data Management Hard Knocks
Is Social Analytics Better at Tracking Disease?
Need for a Robust Data Quality Framework for Big Data

That’s why there are five steps every enterprise needs to take to govern their data more effectively.

1. Access Controls

Imagine an employee being fired or relocated in the company but still having full access to every bit of information he had as an employee. The quality of a company’s data hinges on its limited access to trusted internal staff for management and oversight. When turnover occurs within a business, controls enable a company to anticipate changing permissions in order to maintain access to private information. Implementing access controls will establish continuous monitoring of employee accounts, automatically alerting executives when a violation occurs, and ensuring a disgruntled former employee can’t log in and potentially steal or alter data.

2. Segregation of Duties

Make sure there’s more than one person involved in sensitive processes or business duties that could lead to fraudulent behavior. For example, the person who approves expenses in payroll can’t also be the person writing all the checks. Or in healthcare, the person who approves the claims can’t also determine the amount of coverage. Ensuring an enterprise reconciles databases and actual activity will guarantee segregation of duties compliance, alerting executives of high-risk conditions.

3. Critical Data Governance

Think of how many critical, sensitive and important documents exist within an organization. Governing that information is a top priority for businesses, and overseeing critical data with proper controls can safeguard it as it moves throughout the enterprise. Critical data controls can alert business leaders when a confidential document is inappropriately released, in addition to scanning documents for sensitive customer information. The same controls can ensure data quality for incoming and outgoing critical data while masking delicate fields to adhere to industry privacy standards. Furthermore, software can track data flows, watching the path sensitive data takes as it moves around the organization.

4. Log and Event Governance

While many major enterprises have security measures in place to alert them of potential errors, sometimes the number of notifications can be incredibly overwhelming. Log management aggregates and prioritizes data from multiple sources, consolidating important information so teams can take action in critical events without having to weed through the clutter. The software can also trend and analyze the log of events, taking a closer look at any correlation between issues.

5. Suspicious Activity

Theft, fraud misuse and more – it’s all classified under suspicious activity. New data controls can automatically monitor and alert executives for potential employee fraud, waste and abuse. For example, if your fleet of vehicles normally drives 300 miles a week and suddenly that number jumps to 600 miles, software controls will flag the suspicious activity. Or if an asset report notices a laptop missing from its log, a deep-dive could find out where it went. The controls can also track vendor invoices, expense reports, payments and accounts payable for cases of fraud.

Using data controls in new ways not only streamlines business, saves time and ensures accuracy; controls can also be used to monitor and protect your organization from fraud, unauthorized access and more. Internal threats lurking beneath the surface can impact business even as companies fear external intrusion. These tips provide companies with practices to ensure data maintains a rigorous level of integrity at each interaction, starting at the core of a company’s data input. Your customers are your greatest asset. How effectively and efficiently are you protecting theirs?

By: Mark Johnston

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

sales and data analytics
How Data Analytics Improves Lead Management and Sales Results
Analytics Big Data Exclusive
ai in marketing
How AI and Smart Platforms Improve Email Marketing
Artificial Intelligence Exclusive Marketing
AI Document Verification for Legal Firms: Importance & Top Tools
AI Document Verification for Legal Firms: Importance & Top Tools
Artificial Intelligence Exclusive
AI supply chain
AI Tools Are Strengthening Global Supply Chains
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

When Do You need All the Data for Big Analytics?

2 Min Read

How do you define your master data?

2 Min Read

Text Analytics for Legacy BI Analysis

8 Min Read

Big Data: The Coming Sensor Data Driven Productivity Revolution

3 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?