A Complete Guide to Sales Call Reporting: Benefits, Best Practices, and Ready-to-Use Templates
Leverage sales calls reports to get better insight into your prospects’ needs and use our templates to create the reports faster and easier.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
What Are the Benefits of Using Big Data in B2B Ecommerce?
Here are five things to know about the benefits of using big data in B2B e-commerce: The world produces 2.5 quintillion bytes of big data every single day. However, this data is meaningless without insight and context. B2B e-commerce companies like yours need to identify trends and patterns from this information; otherwise, data is little more than numbers on a spreadsheet.
The Best Time to Kickstart your Data Strategy is Now
Organizations with data strategies in play for more than a year found that those strategies were more successful and more effective. Cindy Maike, VP of Industry Solutions and Value Management explains how kickstarting your data strategy now will help your business meet unforeseen challenges to the industry.
Why Everyone's Talking About Composable Analytics
In the restaurant industry, they say that you’re only as good as your last meal. The same is true with technology. You have to keep up with the latest and be the greatest to remain competitive. It is a dynamically changing industry, and staying ahead of key trends is of the utmost importance. The most recent talk is around a new concept described as “composable analytics.”
Embedded Analytics: The Secret to Promoting Information Democracy
One element that rings true in the world of analytics is that it is everchanging. Chief Data Officers and business leaders must stay abreast of key trends so their organizations don’t miss out on its benefits. A relatively new buzzword in the embedded analytics arena was coined by thought leader Howard Dresner, who serves as Chief Research Officer of Dresner Advisory Services.
Reinventing the Healthcare Enterprise with Analytics
Whether you work in a hospital, long-term care facility, clinical lab, or a HealthTech company, all workers in the healthcare sector today are focused on value-based care and cost efficiencies. For organizations intent on streamlining processes, an analytics tool is the logical next step. Undoubtedly, embedded analytics solutions deliver the best outcomes.
IT vs Shadow IT - Between 2 bits ep. 01
Just how big of a deal is shadow IT, really? Will downloading that piece of data integration software that’s not been approved by IT provide a path to faster, better data analytics, or bring the whole company crashing down in a storm of security and regulatory noncompliance challenges? In this week’s episode, join our hosts for a discussion about all things shadow IT: why it happens, what can make it dangerous, why some think it’s necessary, and above all, is there a solution that can make everybody happy?
Becoming AI-First: How to Get There
Deciding to adopt an AI-first strategy is the easy part. Figuring out how to implement it takes a little more effort. It requires a clear-eyed vision built around well-defined goals and a realistic execution plan. Being AI-first means setting up your organization for the future. By leveraging data, analytics, and automation, a company can gain a better understanding of where it is and where it needs to go.
Canadian Tire x ThoughtSpot
Building trust is extremely important, and Canadian Tire does this using data. Through having an in depth understanding of the numbers, Canadian Tire is now able to build trust with their merchants. See how with ThoughtSpot’s simple, search based platform, Canadian Tire can now better understand their customers and continue to scale.
Don't Know How to Interpret Your Data? Use This Playbook to Master Data Management
Data is everywhere. Whether you’re an executive, a manager, or just trying to keep your head above water in your day-to-day job, the chances are that you’ve had at least one interaction with a set of data this month alone. And if you’ve ever tried to interpret data for yourself or your team, you know how confusing it can be to make sense of it all, understand what information is critical, and what can be left to the wayside.