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
    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
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
    pexels pavel danilyuk 8112119
    Data Analytics Is Revolutionizing Medical Credentialing
    8 Min Read
    data and seo
    Maximize SEO Success with Powerful Data Analytics Insights
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Can Business Automation Solve Your Data Quality Problems?
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 > Can Business Automation Solve Your Data Quality Problems?
Big DataData Quality

Can Business Automation Solve Your Data Quality Problems?

Discover how business automation can help you streamline your data processes, identify and solve data quality issues, and save time & money. Learn more now!

martindoyle
martindoyle
6 Min Read
data quality
Shutterstock Licensed Photo - 1767144422 | By Blue Planet Studio
SHARE

All businesses are at the mercy of data quality challenges. From the moment you capture your first lead, you’ll be fighting a battle against data decay. The bigger the database gets, the more problems the business can encounter, and it isn’t easy to single out a particular cause.

Contents
Why Automate?The Challenges of Business AutomationBusiness Automation Payoffs

Often, data simply goes out of date over time – a natural ageing process that affects all business data. But there are other reasons for poor accuracy: spelling mistakes, accidental duplicates, or incorrect entries in fields, to name but three. The less accurate the data is, the less successful marketing campaigns are. Poor accuracy also interferes with reporting, sales and support and ultimately the bottom line.

For businesses trying to integrate their systems and software, a new data quality problem emerges. Linking two systems together can result in data mismatches, invalid entries, and duplicated fields. When employees add data manually, there’s the simple possibility that they’ll spell something wrong. As soon as you integrate systems together, the mistakes spread like a virus.

In an ideal world, businesses would rely heavily on business process automation. It lets employees replace manual work with a pre-defined, repeatable process that fires automatically. But why is this so important, and how can businesses contain data quality risks?

More Read

IDC: Decision Management Market at $10B by 2014
Taking the question out of questionable claims
From Master Data to Master Graph
Measuring Social Media ROI: Leveraging Data To Boost Results
How Big Data Analytics on Twitter Can Help Predict Disease Spread [VIDEO]

Why Automate?

Admin, paperwork and process can cause huge amounts of drag on productivity. SMEs are particularly vulnerable to this, since there are fewer employees covering everything that needs to be done. The longer processes take, the less profit-earning tasks can be carried out; the more manual input, the more chance there is of human error. Data is one of a business’ biggest assets, and the business must protect its data against quality degradation.

This is especially true when a business uses a CRM as the central hub for its data. Employees need to know that the CRM is timely, reliable and accurate. If they lose trust in the CRM, or experience problems due to its poor data quality, they are less likely to trust automation.

But automation presents numerous benefits. When the business translates a process into a pre-defined set of rules, linking different parts of the process together, it starts bringing data in from different sources. Cumbersome, slow admin tasks can be replaced with lightning-fast, efficient automated processes. Employees get the information they need more quickly, and are freed from the constraints of repetitive work. Data can also be enhanced automatically using third party sources.

Business process automation can pay dividends in any department, but is particularly well suited to areas where a workflow is in use. This may include order fulfilment, recruitment or accounting, but can extend to sales and support as well.

Because each process runs automatically, there are fewer chances for faults to creep in. This results in cost and efficiency savings, and a better experience for your customer. Rules ensure that data is cohesive and compatible from one part of the process to the next, and businesses can access it readily using APIs, making reporting and analysis quicker than ever.

The Challenges of Business Automation

One of the biggest issues in business is data quality, and automation must be adopted with a focus on maintaining accuracy. If there are duplicates, invalid records or missing data, the whole automation process may be undermined.

In a survey from Demand Gen Report, nearly 85 per cent of respondents said they knowingly run CRM automation with 10-40 per cent bad data. With such a staggeringly high chance of failure, you might wonder why they don’t do something about it. In truth, automating processes is not easy without software that is capable of bringing disparate systems together.

The key is to ensure each part of the automated process is capable of speaking to the others in a language that both understand, and ‘translating’ data into certain formats before it is allowed to flow through the process. Standardisation of data is essential. From the character encoding down to the format of a date, every part of the process needs to be compliant.

Business Automation Payoffs

Business process automation can be the key driver to better integration between systems. Once you automate processes, you can start to build a better picture. Third party services can tap into your data, while existing systems can talk to each other much more quickly.

In turn, this results in a more accurate single customer view. Data that flows through the system can be checked for accuracy constantly, improving its accuracy without the need to bring in any other systems.

With the right software, the business can achieve better efficiency without the need for extensive programming. Modern business automation software offers ‘drag and drop’ rule building, making it instantly accessible without the need to hard code rules or formulae. If you’d like to add business process automation software to your organization, visit https://www.fortra.com/solutions/automation/business-process-automation.

TAGGED:big datadata quality
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

image fx (2)
Monitoring Data Without Turning into Big Brother
Big Data Exclusive
image fx (71)
The Power of AI for Personalization in Email
Artificial Intelligence Exclusive Marketing
image fx (67)
Improving LinkedIn Ad Strategies with Data Analytics
Analytics Big Data Exclusive Software
big data and remote work
Data Helps Speech-Language Pathologists Deliver Better Results
Analytics Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

use big data to improve ROI
Artificial IntelligenceExclusiveMachine Learning

Why Good Management is Still Essential in the Age of Big Data and ML

7 Min Read
big data and vpn importance
Best PracticesData ManagementExclusivePrivacySecurity

Big Data Has Created A Surge In Demand For VPN Solutions

9 Min Read
data structure
Big DataDevelopmentExclusive

The Role of Data Structures and Algorithms in Software Development

6 Min Read
Microsoft Access
Big DataData ManagementData Warehousing

Opportunities with Merging Microsoft Access With Big Data

5 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 in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

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?