data in

(Source – Shutterstock)

Credit Clear and Sisense experts unveil how data drives growth across APAC

When it comes to business transformation, both data and analytics are having a profound effect on innovation across the APAC region. With the recent release of Sisense’s Future of Data Analytics Report 2022 – Asia Pacific Edition, which surveyed more than 1,000 APAC data professionals, Rohan Persaud, Director of Channels and Alliances APAC at Sisense sat down with Jason Serafino, Chief Product and Technology Officer at fast-growing fintech company Credit Clear, at a recent Corinium’s CDAO event to discuss the findings of the report.

Data: the key that unlocks success across APAC

A key finding in the Sisense report reveals that data is, essentially, ‘gold’ for boosting product price and customer loyalty. Nearly half (45%) of respondents agree that offering personalized, customized data and analytics to customers could allow them to increase the average selling price of their products or services. At the same time, 43% of respondents also agree that data and analytics would help build loyalty and retain customers.

For a fintech company like Credit Clear, Jason agrees that embracing data analytics is key to a brighter business future. He’s seen it firsthand at Credit Clear. “Data has been key to our success,” he says.

Credit Clear, an advanced customer accounts receivables platform, providing financial wellbeing through frictionless repayments, manages more than 835,000 active customer accounts across a range of industries, including transport, financial services, insurance, government, and utilities.

Thinking back to Credit Clear just three years ago when he joined, Jason shares that they were “a scrappy fintech” getting great results. Credit Clear had incredible talent, a disruptive product in the market, and many early adopters on the platform, ranging from financial services to progressive collectors. There was one problem though — it wasn’t sharing this success story with customers

“We were doing great. But we weren’t great at telling our clients about it and engaging them on that story,” he recalls.

Discovering new business frontiers with data

Credit Clear

Jason Serafino, Chief Product and Technology Officer, Credit Clear

The debt collection space is a conservative space. In trying to move the dial, Credit Clear had an “aha!” moment. “We were sitting on this really interesting data, but it was kind of locked up at the moment in the system,” Jason explains. “So, we started this journey of developing analytics offerings and engaging with our clients, showing them what we were doing and talking to them about the results.”

In just over a handful of years, the company has made massive strides in the debt-collection space. A true pioneer, Credit Clear is setting an industry benchmark by demonstrating how critical a data-driven approach is to succeed in a competitive and increasingly uncertain landscape.

The outcome was amazing. “We immediately saw a dramatic shift in our engagement with clients,” he says. “Suddenly, they were very engaged with what we were doing. I credit analytics and the extraction of value, that monetization, to our growth.”

As a hybrid, end-to-end provider of debt collections services led by award-winning artificial intelligence (AI), Credit Clear has been disrupting the traditional debt collections industry with enhanced collection rates and an improved customer engagement and experience. The company has grown rapidly in the past year, increasing revenue through a string of material new client wins; several of which the company expects to become top-ten clients by revenue, as well as achieving significant growth through existing clients giving the company more business.

With a team of 200 staff, including data scientists and software engineers, the company has set new revenue records each quarter and is currently on a revenue run rate of $37.44 million.

How Credit Clear leveraged the power of data democratization

Rohan Persaud, Director of Channels and Alliances APAC at Sisense

Interestingly, Sisense’s report reveals that when it comes to rating their organization’s ability to maximize the value of its data, respondents across the APAC region gave, on average, only a six out of 10 rating. For Credit Clear, clearing that hurdle was all about data democratization — the accessibility of information.

“We wanted to unlock that data and make it available to both our internal teams and our external customers in a way that would enable them to ‘slice and dice’ and find insights in it,” Jason says.

“It sounds simple, but it can be really difficult to do. But that’s the essence of it. If you have all this data locked up that’s only accessible by one very technical person, you’re shortening your window of opportunity.”

That’s because data is, in a way, perishable. It has a shelf life. Organizations have to use it before it’s not relevant anymore. Especially, Jason says, that data has to have meaning. And that’s achieved by getting it into more people’s hands.

Navigating risk

According to the report, data transmission, analysis, and risk management remain top concerns with almost two-thirds (61%) of respondents saying they are concerned about data transmission. Furthermore, respondents also shared that effective analysis of data (58%) and inadequate systems in place to manage risk (58%) are also a concern.

Jason concurs, saying those challenges resonate with Credit Clear as well. But it’s something they’ve navigated well. “Risk management and security management are things I’m very committed to simply because of the nature of our platform,” he says.

“My best advice to others is to keep it simple. In fintech, there are benefits in simplifying the infrastructure. If you can simplify, then everything gets easier.”

Credit Clear leveraged Sisense in its platform to provide access to internal and external analysts. “Since it’s all on one simplified platform, governance controls and risk management have become so much easier,” Jason says.

Future-proofing businesses in APAC: challenges and opportunities

When it comes to business resilience, Sisense’s report finds that 59% of APAC data professionals say leveraging data future-proofs business performance. However, 15% are fearful of change, risk-averse, say change is too risky, and would prefer to keep the status quo.

Jason admits he’s not entirely surprised. To an extent, he saw a similar aversion when trying to get Credit Clear customers to embrace digital solutions. “In the beginning, our customers were naturally reluctant to change the way they were working and had always worked,” he says. “But what really moved the needle was proof. We used data to produce proof points via case studies. That was a game changer. It was enough to actually move the market in our favor.”

In summary, advanced analytics is one of the most powerful tools for business. There’s a treasure trove of information available to any company that’s willing to cast any and all fears aside and unlock it. That’s information that can provide a clear path to growth and profitability.

Read the full Sisense Future of Data Analytics Report 2022 – Asia Pacific Edition here.


The views express in this article is that of the author and may not reflect the views of Tech Wire Asia 


Sisense goes beyond traditional business intelligence by providing organizations with the ability to infuse analytics everywhere, embedded in both customer and employee applications and workflows. Sisense customers are breaking through the barriers of analytics adoption by going beyond the dashboard with Sisense Fusion – the highly customizable, AI-driven analytics cloud platform, that infuses intelligence at the right place and the right time, every time. More than 2,000 global companies rely on Sisense to innovate, disrupt markets and drive meaningful change in the world. Ranked as the No. 1 Business Intelligence company in terms of customer success, Sisense has also been named one of the Forbes’ Cloud 100, The World’s Best Cloud Companies, six years in a row. Visit us at and connect with us on LinkedIn, Twitter, and Facebook.