Discover The #1 Cause of Merger Failures

by Brad Blood | September 11, 2018

It’s 5:45 a.m. and you’ve just been informed by email that the merger is a go.

You’ve been preparing for the possibility, so you have an idea what life is about to look like.

You suck in a deep breath and dread the long work weeks to come – knowing that nobody really knows how big a task this is for you and your team. You ready yourself to get it done...

post merger integration failureMergers and acquisitions present unpredictable and unique challenges. While there’s a wealth of business advice available, there isn’t as much advice on the most important aspect of a merger or acquisition - data.

Analyzing information for due diligence is one thing, but integrating IT infrastructure, data, and systems is a big project. And it seems like there’s never enough time allocated.

Adding to the stress is the fact that most mergers fail. The reason? It’s not poor financial decisions or a faulty audit. Studies show that broken business processes - and data - are the culprit.

Enterprise Mergers - Two Worlds of Data Collide

Two companies are joining forces and chances are, they have completely different enterprise data systems. And in many cases, at least one company brings a lot of paper to the table.

Then add in vastly different data standardization practices, email and productivity systems, data archives, and cloud solutions. It’s clear that migrating data is a significant undertaking.

You might be asking yourself “But don’t vendors have solutions for migrating data?”

reasons for failure of merger and acquisitionThey do. Sort of. There are tools for migrating one system to another. For example, if you need to migrate basic content from SharePoint to Office 365 – Microsoft has tools and support for that.  

However, if you are migrating content to an electronic content management solution (ECM), like Documentum or Alfresco or you are using SharePoint as an ECM, the migration task becomes incredibly intricate. Document metadata, indexing, and tagging must be carefully aligned and added as needed.

Critical business workflows depend on accurate and complete data. It’s like starting an enterprise data planning project from scratch, but worse.

Merging data that has already been interpreted by two separate organizations requires a deep understanding of underlying business processes and data sources, and a reworking of your master data model.

You are expected to deliver uninterrupted “business as usual” operational effectiveness using another organization’s data. It’s no wonder that data management is the crux of a successful merger!

Here are 5 Tasks to Turn Your Merger from Failure into Success:

          1. Data Indexing
          2. Data Validation
          3. Capture and extraction
          4. Standardization
          5. Security and permissions


1. Data Indexing

If paper or basic file stores are involved, indexing all documents before migration is a must.

success and failure of merger & acquisitionAccurate document indexing ensures precise data extraction. The best scenario is a migration solution that includes automated indexing. This will ensure no missing data after the migration.

For example, your organization may depend on very detailed Human Resources information for compliance and workflow reasons. The other organization may only have paper files or a simple file share. By indexing before the migration, you will capture the data you need regardless of how it was previously stored or identified.

To avoid merger failures and help things go as smoothly as possible, plan to re-index all document types regardless of where they’re stored. For example: onsite / offsite, SharePoint, Documentum, Alfresco, Ariba, Box, Dropbox, file servers, etc.

You’ll save an immense amount of human labor by automatically indexing documentation during migration.

Learn About Powerful,  Intelligent Document Processing

2. Data Validation

Validating data during a migration is another opportunity for reducing future workload and limiting the chances of crucial process failures in a merger.

merger failure rateVendor migration tools can’t perform validations on the data you will be migrating. Plan to perform validations on data like account numbers, addresses, phone numbers, financial calculations, etc. Create workflows to flag any errors for manual review.

The best time to discover data errors and omissions is before your go-live date.

Ensure that critical operations like processes related to billing and customer support stay fully functional by merging accurate data. The last thing you want to discover is that you aren’t billing for something you should be - or aren’t able to support a new set of customers - because you can’t find them in the system.

Accuracy inspires trust. If your merger or acquisition creates new employee and customer relationships, ensure you are off to a great start by getting critical information right the first time.

3. Capture and Extraction

Even if there is very little physical documentation involved, you still need to plan on extracting data from digital sources.

data mergeFor example, most data migrations include file stores containing scanned document images. A common problem with these documents is that searching for data on them produces inconsistent results.

The original documents may have been scanned using an older OCR technology or no OCR at all. Unlock an immense amount of valuable, accurate data by re-OCRing these scanned images with a modern capture tool.

Other common sources of digital data that will need to be extracted:

  • Basic content services – SharePoint, Box, wikis, etc.
  • Cloud storage – Dropbox, OneDrive, Drive, etc.
  • Email systems – G Suite, Exchange, Outlook, etc.
  • Archives and backups – Tape drives, optical discs, fixed disc arrays, film, fiche, etc.

If your goal is to collect information from all these sources, use a solution designed to capture and extract data from multiple sources. Processing micrographics? Take a look at this article.

You may have business processes that are dependent on data that was never collected by the other company. Ensure the stability of your processes by identifying and extracting 100% of the information you need.

4. Standardization

Standardizing file formats makes it easier to quickly retrieve, read, and annotate documents. Consider standardizing (or normalizing) to PDF format.

data standardizationEvery modern enterprise data system works with PDF documents. Ensure original file formats are also migrated to provide access to original file formats as needed.

Converting to PDF saves money on licensing costs and ensures all documents are accessible for years to come. Documents converted to PDF will be extremely easy to view at a glance in any information system in case staff need to search through documents to find specific information.


5. Security and Permissions

Every company has their own methodology for managing security and permissions.

data security for mergerSince you will be adding new data and possibly new staff, access to data and files will need to be scrutinized. There are many security and permissions tasks you should complete during the data migration rather than afterwards.

Plan to identify protected data and route it appropriately during migration. Use a migration tool that provides the flexibility your processes need. For example, you may need to extract protected data to an analytics tool but retain both redacted and original versions of the information.

By managing protected data during the migration, you ensure compliance initiatives remain intact while providing appropriate access to important data during mergers.

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