7 Tips to Avoid Poor Data Management Practices

Who said weekends can’t be both relaxing and insightful??

RevOps Digest brings you easy-to-digest valuable revenue insights right from the comfort of your couch every Friday.?

So, let’s dive right in!?

RevOps Quick Tips?

You know the saying “You can’t improve what you can’t measure”?

We believe there should be more to it “You can’t improve what you can’t measure, manage, and control”

And guess what?

It holds true for RevOps.?

RevOps is a blend of people, processes, and data.?

But for starters, let’s zoom in on data today - one of the biggest challenges most RevOps teams are facing currently.?

We all know RevOps face a data challenge, and it’s not because there isn’t enough of it.?

Or because of a shortage of tools to manage their data.?

In fact, there’s an overflow of data and an abundance of tools available.?

Maybe that’s where the challenge begins.

When you have a lot to deal with you face these problems every day, and they can seem unsolvable, which, truthfully, they can be.

Let's start by looking at some of the problems that come with having too much data:

1. Too Much to Handle: When you have loads of data, it can be tough to figure out what's important and what's not.
2. Data Quality Issues: Dealing with huge piles of data can lead to problems like mistakes, inconsistency, and missing information.
3. Higher Error Risk: The more data you have, the more chances there are for mistakes. These mistakes can lead to wrong decisions.
4. Complex processes: More data often leads to complex processes, reducing productivity and wasting time.?
5. Data Governance Hurdles: Keeping data in top shape and following the rules gets trickier as the data pile grows.
6. Data Doubles: Sometimes, data likes to duplicate itself, causing mix-ups and slowing you down even more.

Here are some solutions to help you navigate your data challenges:?

1. Data Prioritization: Start by identifying which data points are most crucial for your RevOps goals. Focus on collecting, managing, and analyzing this essential data to avoid drowning in unnecessary information.
2. Data Governance Framework: Establish a robust data governance framework that includes policies, procedures, and roles for managing data quality, compliance, and security. This framework helps maintain data integrity as your data volume grows.
3. Capacity Planning: As your data volume increases, plan for the necessary infrastructure and resources to handle it efficiently. This includes ensuring that your systems can scale to accommodate growing data requirements.
4. Data Lifecycle Management: Develop a data lifecycle management strategy that defines how data is collected, stored, used, and retired. This ensures that data remains relevant and up to date, reducing clutter.
5. Regular Audits: Conduct regular data audits to identify and rectify issues in data quality, redundancy, or compliance. Audits help maintain data integrity over time.
6. Data Catalog: Create a comprehensive data catalog that documents data sources, definitions, and usage. This catalog helps your team locate and understand data more efficiently.
7. Data Deduplication: Implement data deduplication processes or tools to prevent data redundancy and confusion. This helps maintain a single source of truth and improves data accuracy.

Weekly Content Playlist

Lead-to-Account Matching in Salesforce, the Quick and Easy Way

Your sales team is always diligently making calls.

Trying to book meetings

And bring in new customers.?

But one fine day, they end up cold calling one of your customers.?

Awkward, right??

Before wondering if it’s a coincidence or a genuine mistake, imagine it happening at least twice a day, or more.?

Well, it’s a telltale sign of a poor lead to account matching process.?

But the good news is, you don’t have to learn it the hard way.?

You can avoid these cringe-worthy moments and keep your sales team focused on the right opportunities.?

How?

We’ve covered how PowerRouter helps you with your lead to account matching process in Salesforce, the quick and easy way.?

Are you Measuring your Sales Rep’s ROI?

“Wait, why should we even measure our sales rep’s ROI?” you say.?

Well, you might be wondering, why bother measuring our sales reps' ROI? After all, you’re already keeping an eye on their quotas and performance.

?But, is that really enough?

To really appreciate the impact of your sales team, it's time to look beyond quotas and dive into measuring their return on investment (ROI).

Here’s a quick guide to help you do exactly that.?

The Ultimate Guide to Salesforce Sales Tech Stack?

Sales teams are all about optimizing.?

Yet many are still stuck in the slow lane.?

It’s pretty clear given that most of them spend only 27% of their time selling.?

Mostly because an average sales team uses 10 sales tools

And two-thirds of them mention that they are overwhelmed with their tech stack.?

Not so surprising, is it??

Juggling between 10 tools every day indeed sounds like a challenge.?

Are you in the same boat?

We’ve got you covered.?

Here’s a blog on “Salesforce Tech Stack” covering all the tools you ever need for your Salesforce CRM, not one more or one less.?

With that, we’re wrapping up our another ‘RevOps Digest’ edition.?

But worry not!?

We’ll be back next Friday with more revenue tales to tell.?

Until then,?

Have an amazing weekend!?