

We recently launched the Building Vs Buying Analytics eBook in partnership with Logi Analytics from Insight Software. Dive in to learn the benefits of strategically deployed tech stack for different team members (i.e. different buyer-personas) within an organization. Companies tend to overlook investing in tech, prioritizing short-term fixes over long-term solutions. Big data has big potential, but you must know how to harness it. Those that do get the buy-in to invest in tech stacks will have a competitive advantage in a fast-changing world.
When looking at the tech stack, build vs buy is a problem many companies face when deciding how to grow and develop their internal infrastructure to better inform them on building great customer-centric products.


What’s Inside
In our Building vs Buying Analytics eBook, we examine the potential of embedded analytics solutions, why they’re essential for today’s Software as a Service (SaaS) providers and enterprise IT departments, and how you can use them to drive growth and accelerate ahead of the competition.
You’ll learn how to:
- Unlock the potential of big data to accelerate past competition
- Give users a seamless platform experience, uninterrupted by imperfect analytics tools
- Decide whether to build or buy your embedded analytics


How the clarity of data transforms businesses
Irrespective of the sector, digital transformation for many companies escalated the importance of data, including storage, access and data cleansing. As a result, much-needed conversations around ownership, teams, data storage, workflows, budget and more. In times of rapid change, the reliability of data is increasingly important. Accurate, clean and real-time data analysis allows teams to review the current situation, forecast trends, and make the necessary business decision. Such information benefits various teams, from Marketing to Product, IT, Ops and more.
By refocusing resources on creating value for end-users, your internal teams, customers and end-users all benefit. Instead of working on the roadmap for developing a bespoke tool independently, reallocate that time to other priorities. This move allows teams to learn from those in the field that are well-staffed and work across many sectors.