Many enterprise software implementations fail to deliver the data insights that organizations were seeking. Why? Because organizations dedicate minimal resources to preparing their data, processes, and people for the new software solution.

There are many missteps that organizations make, but most boil down to a lack of preparation. Here’s an overview of the challenges of implementing business analytics and expert advice on how to prepare for these challenges as you begin software selection.

Challenges of Implementing Business Analytics

1. Encouraging User Adoption​

Implementing analytics software requires employees to change their current workflows to adapt to the new system. Not everyone will be ready or willing to embrace that change.

To make sure resistance doesn’t hinder your efforts, involve key stakeholders from the beginning of the ERP implementation. Allow them to weigh in on features and benefits the new system should have, as well as what the user experience should be.

Then, once you’re in the design phase, show them how you’ve implemented their ideas. This will encourage them to support the project and advocate for it. Clear, consistent communication and transparency are also key for successful organizational change management (OCM).

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2. Managing Large Data Volumes​

Business analytics can help you make sense of the huge amount of data in your organization.
But, before you can use them, you must organize that data. Usually, it’s scattered between disparate systems and platforms, which makes consolidation a challenge.

When it’s time to start extracting and collecting business data from your existing ERP, CRM or SCM system, plan for a phased approach. The first step is to create a unified, manageable big data architecture. From there, you can make incremental changes as required.

Attempting to tackle everything at once could leave your teams stressed. It also opens up room for human error. By taking a more strategic, timed approach, you can keep everything on track.

3. Developing the Right Solution

When you ask your employees what they want in a business analytics solution, expect to receive a slew of different answers. That’s because everyone has their own unique pain points and ideas on how analytics can solve them.

Faced with a myriad of customization requests, many business managers decide to build an all-purpose solution. Then, they wonder why there are so many revisions needed, and why users are frustrated.

Instead of spending time re-working the design on the tail-end, take the time to get it right the first time. Isolate each key user group and ask them to identify their key business challenges. Then, design solutions that appropriately meet their needs.

When you approach the requirements-gathering step intentionally, you can make sure the final solution is one that all teams can use.

4. Addressing Data Quality Issues​

If quality issues start to affect your big data system, it can lead to inaccurate results and forecasts. The problems can become even more serious and harder to control as your teams start to integrate more and different types of data.

To help avoid this roadblock, make it a point to monitor and correct your data quality on a constant basis. This way, you can take a proactive approach and identify any mistakes before they become more prominent.

Not sure how to keep an eye on errors like duplicate entries and typos? These mistakes are common, especially when you’re working with data taken from multiple sources. To keep your data as clean as possible, create a system that can match duplicates with data variances and report on typos. While it might take a while to develop, this tool can save your team time and help them catch problems before they snowball.

5. Ensuring Stakeholder Buy-In​

When business intelligence (BI) first debuted, companies deployed systems that were based on large IT infrastructures. While these were advanced for their time, they ultimately delivered information in an inefficient manner.

As you make the case for more advanced ERP selection, you may encounter some pushback from your C-suite. They may wonder why they need to change the current setup or add to existing BI investments they’re still paying on.

The key is to identify the ROI they can expect to receive, and explain how it outweighs any associated risks or expenses. Discuss how the new solutions will deliver real-time workflow improvements and generate time savings. These data and visualizations should speak for themselves, especially if your current BI implementation has failed to meet expectations.

6. Reaching All Users

Analytics dashboards can benefit all employees, helping them make better-informed decisions and increasing their day-to-day productivity.

However, it can be difficult to design dashboards that appeal to your full range of users. This is especially true if your various teams have different comfort levels when it comes to BI technology.

How can you develop solutions that appeal to all users, across every type of skill set? In some cases, this might require creating more than one dashboard, varying the levels of interactivity and data access by group. Or, consider adjusting the same dashboard to be used in different ways. By offering this flexibility, you can improve system adoption and reduce downtime once it’s live.

Avoid These Challenges of Implementing Business Analytics

Analytics software can transform your business, helping you make better use of the data that you interact with on a daily basis. However, implementing these solutions isn’t always as easy as it sounds.

By planning ahead and putting the right infrastructure in place, you can avoid most of the challenges of implementing business analytics. Along the way, our team of ERP implementation consultants can help you optimize your outcomes at every step. Contact us below for a free consultation.

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