In 2018, no one is seriously asking themselves whether they will see a change in their business from the introduction of advanced analytics – it’s a question of how much change will undoubtedly be the breaking of data silos, to ensure that business skills from various departments are combined. Adaptability is critical for companies. We’ve experienced it being the biggest impact for any client who wants to bridge between their departments.
The key is to blend skills together from data science and engineering to industry support, in order to progress towards the solution the client is trying to build. However, customers often tell us that this approach will cause conflict between departments. On the contrary, we have proven experience that inter-departmental bridging is essential to generating business value in the timeframe that it is expected from the customer.
If companies successfully break down their silos, then they can focus on other more pressing challenges to drive business outcomes. Here are three key challenges for all businesses to consider:
- ‘Insight to production’ timeframes – gathering insight has become a no-brainer for almost all firms, but for a variety of reasons, the time that it takes to turn insight into action is too long. Maybe there’s a lack of appreciation for data engineering or no general framework. This needs to change.
- Machine management to speed delivery – still not many companies realise the need for robust machine management. A lot of them employ talent who work with different coding languages, making unification more difficult. There’s a definite need for a general-purpose pipeline management system to ensure seamless delivery of complex projects.
- Effective model management – providing enterprise-wide use case models are consumed by AI applications, for example, but many businesses struggle. Organizations just need to make sure that they are connecting the dots to ensure profitability.