5 Strategic Benefits of Improving Data Quality
5 Strategic Benefits of Improving CRM Data Quality RevOps 10 min Your CRM data quality has a direct impact on how your B2B business scales. Explore 5 strategic benefits of making CRM data quality a priority. The market for CRM systems is exploding. The global market for CRMs is expected to reach $63.91 billion this year. While this says a lot about the increasing demand for CRMs, it does not give a true picture of how valuable CRMs really are. When it comes to realizing the true value of a CRM system, it’s not about the CRM itself. It is about the quality of data that resides in it. Despite this fact, CRM data quality continues to be a significant challenge for businesses. As a result, they fail to harness the true ROI that CRMs promise to bring with it. What kind of quality issues does CRM data face? For starters, 91% of CRM data is incomplete, stale or duplicated each year. And 70% of the data in a CRM decays annually. These inefficiencies wreak havoc on a company’s bottom line, costing companies over 10% of their annual revenue! This problem keeps increasing as more data gets added to a CRM system over time. And before you know it, your CRM turns into a mess with piles of dirty data that adds no value to your business. Improving and enriching data quality is the first step to realizing a CRM’s true potential. High quality CRM data can open multiple doors for any revenue leader to steer their businesses forward, no matter how the waters are outside. It is a solid foundation that can protect businesses from uncertainties like downturns, recession etc. This article will take you through some of the perils of poor quality data in your CRM. And some top use cases of high quality CRM data driving ROI for a business. Low Quality CRM Data Leads to High Costs According to Gartner, poor data quality makes organizations lose an average of $15 million per year. The obvious cost of poor quality CRM data comes with paying extra for CRM storage containing stale, incorrect or missing data. But there are also a lot of hidden costs that might be causing serious revenue leakage such as: Increased cost per customer Lower conversion rates Reduced revenue Dip in profits Forrester Research has found that the persistence of low-quality data throughout enterprise systems robs business leaders of productivity, as they must continuously vet data to ensure it remains accurate. Ignoring these side effects of poor quality data can cause irreparable damages to revenue generation in the long term. To put it simply, any business decision made with poor quality data becomes risky. Be it your marketing campaigns, sales and marketing alignment, pipeline overview or details about your buying committee, poor quality data gives you an even poorer view of your business in all these critical areas. Such data inefficiencies are causing revenues to leak through your funnel in myriad ways. Some of them include: 1. Frustrated sales reps 53% of salespeople have a love/hate relationship with their CRM. They hate manual data entry. 64% of sales teams say they would leave their current role if organizations don’t invest resources in a CRM data quality plan. CRM systems are taking away valuable productive hours from your sales reps which can be spent on building relationships with customers. This has a direct impact on their quota and makes selling harder for them than it already is. 2. Incorrect sales forecasting An accurate sales forecast allows revenue leaders to allocate resources efficiently and maximize returns for the future. But poor quality data leads to incorrect forecasts that can lead to massive revenue leakage. The result is wasted resources on avenues that lead to no result. 3. Poor ROI from CRM CRM systems continue to be one of the biggest investments for businesses. But most businesses fail to extract maximum value out of this investment because CRM data is riddled with inefficiencies. With more time, CRMs end up becoming a major source of revenue drain, and end up adding little to no value to overall business goals. 4. Failed marketing campaigns In an era where customers demand real-time and personalized messaging, relying on poor quality CRM data to drive such campaigns can end up as disasters. Bad data leads to a string of campaign failures that can damage the reputation of a brand. For example, basing a marketing campaign on a list of stale contacts only ends up spending money on an idea that will never convert. How To Improve CRM Data Quality Having high-quality CRM data addresses and fixes revenue leakage at its roots. For revenue leaders who want to set up systems, processes and operations that lead to GTM alignment, the first-step is to fix the CRM data quality problem. And to make sure the data in your CRM is trustworthy, complete and accurate, you must invest in technology that does not put additional pressure on your sales, marketing or customer success teams. Instead, it must enable them to do their job better while the tool silently works its magic in the background. A great example in point here is CRM data entry. It continues to be a largely manual exercise, taking away so much time from sales reps. Manual data entry also leads to higher chance of error in data entry or missing to enter key information that could lead to more deals. What needs to be done here is not only find a way that automates CRM data entry, but also enriches that data from various GTM tools like CRM systems. This way GTM teams always have correct and updated data to work with. And with a layer of intelligence added on top of this clean data can drive revenue teams towards successful scaling initiatives. 5 Strategic Benefits of Improving CRM Data Quality Fixing your CRM data quality can have a direct impact on your bottom line and fix several unknown revenue gaps. Here are some use top cases we have seen on how actionable insights from superior