Created: 2023-02-14
Updated: 2024-07-23
When we talk about customer support in the SaaS industry, data plays a vital role. The ability to correctly interpret and apply this knowledge can drastically impact your customer service quality.
So what exactly do structured & unstructured data mean? Structured reading is all information organized in databases where you know precisely what's available- think names, dates, or numbers here. It's easy to handle with its clear-cut form.
On the contrary, unstructured data does not have such structure and it refers to things like emails or social media posts. These could hold pivotal information but extracting that nugget requires sophisticated technology - Artificial Intelligence (AI) for instance! Through careful navigation between these two types of datasets lies potential improvement spots in our supportive efforts toward customers' experience.
Structured data, in its simplest form, is information neatly organized and easy to search. For a SaaS company’s customer support team, structured data could include details such as the user's sign-up date or their subscription tier.
The power of these concise pieces of info lies in how quickly they can guide your interactions with customers. Need an idea about when to reach out for review requests? Check the users who have spent decent time on your platform!
Moreover, by analyzing trends across multiple clients, we map sentiments towards our service that can boost satisfaction rates! Structured reading - though may sound simple it surely proves pivotal input driving efficient communications between you & consumers leading to happier engagements.
Unstructured data, which constitutes about 80% of all available information, is often more challenging to process than its structured counterpart.
Why so? Well, unstructured data refers broadly to things like emails from customers or notes made during support calls. These are not neatly categorized in tables or spreadsheets making processing tricky! The content here though holds potential insights about customer behavior & sentiment if interpreted rightly and that's where AI can help us discover valuable patterns!
Yes, it may seem daunting but taking on this challenge drives for an enhanced understanding of consumer needs better aligning your solution upgrades meeting expectations putting you a notch up against competition offerings!
Artificial Intelligence ('AI') has become a crucial tool for many SaaS organizations. It aids in not just the managing and interpreting of this huge stream of unstructured data, but also partnering it with structured pieces. This synergy births comprehensive consumer profiles that help us tailor-fit customer experiences boosting satisfaction rates.
Imagine unleashing AI on your company's social media pages or support emails; things are often labeled as 'messy'. The fantastic thing is- they are raw & real! With an eagle eye over such feeds, subtly changing nuances can be picked allowing teams to intervene right when needed maintaining a positive user sentiment!
Bottom line? Harnessing these together - you have one powerful combo bolstering both reactive troubleshooting strategies plus proactive service improvements driving overall success rates sky-high within our business arena!
To summarize, both structured and unstructured data hold their unique place in enhancing a SaaS company’s support efforts. The secret? Balancing these two knowledge types smarter via embracing AI-powered solutions!
On one side we have easily searchable databases raising the speed of customer interaction plus allowing proactive personalizations creating happier clients; while the other unpacks deeper behavior trends charting our path towards more meaningful relationships with consumers.
So, I urge you to evaluate your current approach today alongside mapping potential investments in this aspect climbing up that ladder of service delivery excellence! Thanks for reading & do share if you found this article helpful!
Csilla Fehér
