Pulling It All Together for a Complete KM Solution

In the previous three chapters, we have provided a business case for why a knowledge mining (KM) solution will help your organization leverage troves of dark data – or data that sits in the shadows and is unavailable without manual searching by humans. We also discussed the process, in Chapter 5, of building your initial Azure Cognitive Search environment with associated built-in enrichments and indexers for building a metadata repository to enhance the search experience beyond traditional solutions. Finally, in Chapter 6, we provided the process for attaching other Azure Cognitive Services and custom solutions to your Cognitive Search environment to extract maximum detail from your latent data.

In this chapter, we are going to pull it all together to help you understand what a complete KM solution can provide to your organization, with further examples of ways to leverage the services available. To provide these examples...