When the Smart Watch industry first began to evolve, it provided a lot of promise for businesses wishing to expand market share by developing apps for the smartwatch market. But, there were some stumbles along the way! Now that the industry is beginning to fulfill its promise, your business may wish to make the jump into the market.
A recent study published by Gartner revealed that 10% of midsize organizations currently have some form of prescriptive analytics. This is forecast to grow to 36%. You may be wondering why the use of predictive analytics is growing so rapidly in midsized companies, and it is worth noting that, while there are numerous benefits to this type of solution, one of the primary reasons for this growth is improved productivity and employee value
Preparing data for analysis used to be a long, difficult process performed by IT or data scientists. Needless to say, that process meant that business users could not get the job done. They were forced to make a request, wait for the process to be completed and then, more than likely, for the same team to actually perform the analysis. If the data prep was not accurate or was incomplete, the process starts all over OR produces poor results and, in many cases, those poor results are not obvious to the business user. What does that mean? It means that the business is using information and results that they do not know are wrong!
When your business decides to develop a software application or a software product, its IT team or IT consulting partner must choose an appropriate development environment to support the needs of the project and plan for scalability, performance and upgrades. Many developers like the Apache Spark tools and libraries and supporting environment and there is good reason to choose Spark for your project.
