For 2016 and beyond, the forecast is for data access “as needed”.
From a business standpoint, considering a NoSQL or ‘Big Data’ environment has been shown to provide a clear competitive advantage in numerous industries. In the ‘age of data’, this is compelling information as a great saying about the importance of data is summed up with the following “if your data isn’t growing then neither is your business.”
A NoSQL database environment is, simply put, a non-relational and largely distributed database system that enables rapid, ad-hoc organization and analysis of extremely high-volume, disparate data types. NoSQL databases are sometimes referred to as cloud databases, non-relational databases, Big Data databases and a myriad of other terms and were developed in response to the sheer volume of data being generated, stored and analyzed by modern users (user-generated data) and their applications (machine-generated data).
In general, NoSQL databases have become the first alternative to relational databases, with scalability, availability, and fault tolerance being key deciding factors. They go well beyond the more widely understood legacy, relational databases (such as Oracle, SQL Server and DB2 databases) in satisfying the needs of today’s modern business applications. A very flexible and schema-less data model, horizontal scalability, distributed architectures, and the use of languages and interfaces that are “not only” SQL typically characterize this technology.
Analytics and Business Intelligence
A key strategic driver of implementing a NoSQL database environment is the ability to mine the data that is being collected so as to derive insights that puts your business at a competitive advantage. Extracting meaningful business intelligence from very high volumes of data is a very difficult task to achieve with traditional relational database systems. Modern NoSQL database systems not only provide storage and management of business application data but also deliver integrated data analytics that deliver instant understanding of complex data sets and facilitate flexible decision-making.
We can get you off to a hot, fast start in 2016. Our teams can help you extract, transform and load (ETL Plus* or unbundled) your data into meaningful sets, mobilize and monitor your predictive BI priorities, trends, measure progress toward a set of quantitative goals, flag shifts in your markets or financial operations and even lift your customer experiences to a higher level. Whew, that’s saying a lot. Or is that just what you needed to hear?
Call us to start a neutral and friendly conversation. 512 478 3848.