• Blog
  • Contact
  • Sign in
CloverDX
Product
  • Overview
  • CloverDX Data Integration Platform
  • What's new in CloverDX 6
  • Pricing
  • CloverDX plans
  • Deployment
  • CloverDX on AWS
  • CloverDX on Azure
  • CloverDX on Google Cloud
  • CloverDX on-premise
  • Resources
  • Customer Portal
  • Documentation
  • Downloads & Licenses
  • Webinars
  • Academy & Training
  • Release Notes
  • CloverDX Forum
  • CloverDX Blog
  • Tech Blog
  • CloverDX Marketplace
  • Other resources
isometric-illustration--product@2x 1

Get under the hood of CloverDX

See how CloverDX can benefit your business with a live demo. Simply get in touch with our team and we’ll handle the rest.

Book a demo
Solutions
  • By Industry
  • Banking
  • Capital Markets
  • Consultancy & Advisory
  • FinTech
  • Government Agencies
  • Healthcare
  • By Use Case
  • Data Quality
  • Data Ingest
  • Data Warehousing
  • Data Migration
  • Modernizing ETL
  • Digital Transformation
  • Enterprise Data Management
  • Risk & Compliance
  • Anonymization
How F3 Group use CloverDX to ingest more client data - webinar
Customer interview

Formula 3: Staying Small And Agile While Working With Large Enterprise Ecosystems

Browse webinars
Services
  • Services
  • Onboarding & Training
  • Professional Services
  • Customer Support

More efficient, streamlined data feeds

Discover how Gain Theory automated their data ingestion and improved collaboration, productivity and time-to-delivery thanks to CloverDX.

 

Read case study
Customers
  • By Use Case
  • Analytics and BI
  • Data Ingest
  • Data Integration
  • Data Migration
  • Data Quality
  • Data Warehousing
  • Digital Transformation
  • By Industry
  • App & Platform Providers
  • Banking
  • Capital Markets
  • Consultancy & Advisory
  • E-Commerce
  • FinTech
  • Government
  • Healthcare
  • Logistics
  • Manufacturing
  • Retail
Migrating data to Workday - case study
Case study

Effectively Migrating Legacy Data Into Workday

Read customer story
Company
  • About CloverDX
  • Our story & leadership
  • Contact us
  • Partners
  • CloverDX Partners
  • Become a partner
Pricing
Demo
Trial

Are these common business problems affecting your data transparency?

Data Management
Posted October 05, 2022
4 min read
Are these common business problems affecting your data transparency?

Data transparency refers to the accessibility and accuracy of your data. If you struggle with either or both, you can suffer from poor business decision-making and inaccurate insights.

However, data transparency issues aren’t always a technical problem. Sometimes, organizational culture is at the root. Often, it’s both.

Let’s look at some of the key issues that could be affecting your data transparency.

1. Key people have left the organisation

When one person looks after your organization’s data processing, and that person moves on, their knowledge goes with them.

This is especially true when your data processes are all done in code, and only the person who wrote it understands it. They move on and everyone else is afraid to touch it in case something breaks.

Whether it’s a ‘data expert’ or the creator of an important spreadsheet, one person’s departure can leave a significant void.

Ask yourself whether anyone responsible for data in your organisation is completely indispensable. Is there someone who returns from holiday to a backlog because nobody else has the skills to pick up their work while they were away?

This is a culture problem that can place an uncomfortable amount of pressure on individuals. It could also be a problem of technology, inviting you to assess whether the tools you have in place are allowing you to operate efficiently.

2. Siloed departments

One department collects and uses data in a particular way, another in a different way. This makes collaboration difficult and leads to data silos.

When departments are siloed, there’s no data sharing or transparency between teams, which can result in duplication of effort.

This can lead to confused data sets and people within the same organisation working from different information.

Data silo mentality – a reluctance to share data with other departments within the organization – can arise for many reasons.

Interdepartmental rivalries make people reticent to share their information. There could even be a fear of what the data will reveal, either about an employee or an entire team.

Business leaders can also fail to recognize the problem or identify the risks data silos represent. After all, many data silos are built around data that historically didn’t need to be shared.

To realise the true value of your firm’s data you need to eradicate silo mentality. Present the business case for data transparency, integration and collaboration.

3. There are too many tools in your data stack

There’s no organization-wide process or policy for data collection, so data is often entered in different formats. You use several technologies that don’t integrate well. Extracting data and preparing reports is difficult and time-consuming.

If this sounds familiar, there could be too many tools in your data stack.

Manual data processing tools, such as Excel, can be cumbersome to use and hard to scale. Legacy systems like this may contain years of data, input by different people, in different ways, with no regard for data quality.

This lack of standardization leads to a lack of data transparency, and a raft of inefficiencies.

4. You don’t listen to or diagnose your problems

Humans are good at dealing with poor quality data. We can spot a typo. We can read untidy handwriting. It’s understandable then, that under pressure, you’d opt to carry on the way you always have, rather than start a large-scale review of processes. You’ve managed up to now.

However, experts project the world will produce 97 zettabytes of data this year. The insights needed to stay competitive, and the data processes required to remain compliant are changing too fast for you to stand still. Automation is a necessity. But automated processes can’t resolve errors the way we can.

You can’t afford to bury your head in the sand when it comes to data transparency issues.

The problem of bad data won’t go away without your acknowledgement and intervention. But don’t fear bad data. Turning toward the issue could drive business improvement.

Where you find missing or incorrect data, it can be an indicator that business processes need to change. Make these chances and you can increase efficiency, upskill staff, and improve business health and data quality.

Resolving these problems for improved data transparency

While data tools can help to improve data transparency, oftentimes a culture change is needed too.

Let’s take a look at an integrated approach that could help you address these common business problems.

The culture shift

It’s time to start embracing the opportunities that come with data transparency. High-quality data doesn’t just keep you compliant, it drives innovation.

When more people have access to better quality data, silos break down, processing time reduces drastically and your organization becomes a more cohesive entity, instead of a series of separate teams.

Move toward creating a data orientated culture, where data is valued as the primary resource for business insight. This will mean creating a data team, as well as a certain amount of upskilling across the organization.

The tech solution

If you want your people to embrace improved data transparency, your tech needs to be up to the job too.

Silos often arise from siloed technology. Teams add software to meet their specific needs. Over the years this adds up to several legacy systems that don't integrate well.

A solution like CloverDX consolidates systems into a single platform, breaking down silos and creating streamlined, integrated workflows.

A shift in organizational perspective, coupled with a scalable, customizable data platform is a powerful force for change. Change that will benefit you and your business.

Book a free demo CloverDX CTA

Share

Facebook icon Twitter icon LinkedIn icon Email icon
Try CloverDX for 45 days  Full access to Tech Support as if you were a customer

Newsletter

Subscribe

Join 54,000+ data-minded IT professionals. Get regular updates from the CloverDX blog. No spam. Unsubscribe anytime.

Related articles

Back to all articles
Black and white image of someone typing on a computer
Data Management Data Democratization
7 min read

6 major data management risks — and how to tackle them

Continue reading
Data dictionary vs data catalog: what’s the difference?
Data Management Data Democratization
5 min read

Data dictionary vs data catalog: what’s the difference?

Continue reading
How to streamline your data ingestion process from multiple data feeds
Data Ingest Data Management
3 min read

How to streamline your data ingestion process from multiple data feeds

Continue reading
CloverDX logo
Book a demo
Get the free trial
  • Company
  • Our story
  • Contact
  • Partners
  • Our partners
  • Become a partner
  • Product
  • Platform overview
  • Plans & Pricing
  • Customers
  • By Use Case
  • By Industry
  • Deployment
  • On-premise
  • AWS
  • Azure
  • Google Cloud
  • Services
  • Onboarding & Training
  • Professional Services
  • CloverCARE Support
  • Resources
  • Customer Portal
  • Documentation
  • Downloads & Licenses
  • Webinars
  • Academy & Training
  • Release Notes
  • CloverDX Forum
  • CloverDX Blog
  • Tech Blog
  • CloverDX Marketplace
  • Other resources
Blog
6 major data management risks — and how to tackle them
Data Management
Why data trust matters to your customers
E-Commerce
How business systems analysts can make data more accessible
Data Democratization
Solving data sharing in a hybrid working world
Data Governance
© 2023 CloverDX. All rights reserved.
  • info@cloverdx.com
  • sales@cloverdx.com
  • ●
  • Legal
  • Privacy Policy
  • Cookie Policy
  • EULA
  • Support Policy