- Executing a big data strategy
- Implementing a big data strategy
- Taking a wait and see attitude
If you’re in one of the first two categories, good for you! If you’re in the third, you might want re-think your strategy. Companies that get left behind will have a huge hill to climb just to catch up to the competition.
If one of your concerns with moving forward with big data has been a lack of solid guidance to help pave the path to success, then you are in luck! Pentaho has recently released four Big Data Blueprints to help guide you through the process of executing a strategy. These are four use cases that Pentaho has seen customers execute successfully. So, this isn’t just marketing fluff. These are real architectures that supports real big data business value. The four blueprints now available on Pentaho’s website includes:
- Optimize the data warehouse
- Streamlined data refinery
- Customer 360-degree view
- Monetize my data
These blueprints will help you understand the basic architectures that will support your efforts and achieve your desired results. If you are like many companies just getting started with big data, these are great tools to guide you through the murky waters that lie ahead. Here is my quick guide to the four Blueprints, where you may want to get started and why.
The Big Data Blueprints
1. Optimize the Data Warehouse
The data warehouse optimization (or sometimes referred to as data warehouse offloading or DWO) is a great starter use case for gaining experience and expertise with big data, while reducing costs and improving the analytic opportunities for end users. The idea is to increase the amount of data being stored, but not by shoving it into the warehouse, but by adding Hadoop to house the additional data. Once you have Hadoop in the mix, Pentaho makes it easy to move data into Hadoop from external sources, move data bi-directionally between the warehouse and Hadoop, as well as makes it easy to process data in Hadoop. Again, this is a great place to start. It’s not as transformative to your business as the other use cases can be, but it will build expertise and save you money.
2. Streamlined Data Refinery
The idea behind the refinery is to provide a way to stream transaction, customer, machine, and other data from their sources through a scalable big data processing hub, where Hadoop is then used to process transformations, store data, and process analytics that can then be sent to an analytic model for reporting and analysis. Working with several customers, we have seen this as a great next step after the DWO.
3. Customer 360-Degree View
This blueprint is perhaps the most transformative of all the potential big data use cases. The idea here is to gain greater insight into what your customer is doing, seeing, feeling and purchasing. All with the idea that you can then serve and retain that customer better, and attract more customers into your fold. This blueprint lays out the architecture needed to start understanding your customer better. It will require significant effort in accessing all the appropriate customer touch points, but the payoff can be huge. Don’t worry too much about getting the full 360-degree view at first; starting with even one small slice can drive huge revenue and retention rates.
4. Montetize My Data
What do you have locked up in your corporate servers, or in machines you own? This blueprint can be as transformative as the Customer 360, in that it can create new revenue streams that you may not have ever thought about before. In some cases, it could create a whole new business opportunity. What ever your strategy, take time to investigate where and how you can drive new business by leveraging your data.
There are other blueprints that have been defined and developed by Pentaho, but these are four that typically make the most sense for organizations to leverage first. Feel free to reach out to us for more information about any of these blueprints or to learn more about how Pentaho helps organizations be successful with big data.
Find out more about the big data blueprints at http://www.pentaho.com/big-data-blueprints.
Please let me know what you think @cyarbrough.
Product Marketing, Big Data