Analysis : Ibm Watson Analytics Tool

2009). One of the ways that our company can assist these organizations is by using our web analysis tools. Our company can provide analytical and research services that are focused on giving our customers that is a step ahead of the competition. Our company can analyze and process large amounts of data and extract the useful information providing insights to their business market and their

In today’s companies, the analytics software plays the important role and guides the future activities to a great extent.

Each type of analytics as seen on the diagram above, could share a common sub group which could in turn have additional classifications. understanding and reviewing the different types of analytics systems and choosing those that best suite an organization is very helpful in determining the analytic plan for the future of the business. Succeeding in this, will definitely give a boost to the overall value of a business platform.

Data collected by a business includes internal data, such as financial or operational information, as well as external data, such as customer or website usage information. Properly analyzing and acting on this vast amount of data can transform the way companies do business and can become their biggest competitive advantage. Leaders of the organization no longer have to rely on their “gut instincts” to make key decisions, instead they will make decisions off historic data and will be able to more easily measure and track the effectiveness of those decisions.

Forbes used SAP BusinessObjects software to analyze and understand individuals, which helped them make precise decisions and increase their circulation. Both companies, Quidsi and Target, used predictive analytics to identify the trend and customer’s behavior. This helped them gain more customers, make effective decisions, and avoid time and money spent on useless things. Monster.com used SAS statistical modelling software and Unica marketing database to find potential customers who would likely purchase job listings and keep in contact with all of

In today’s world, all the information and knowledge is being collected in the form of data. The amount of data is huge, continually increasing and changing. To utilize this data, analyze it and derive useful information out of it, some cutting-edge technologies are being devised.

In an uber globalized market of today, companies are faced with challenges in each and every step of their business. Our analytics and research services are geared towards giving those companies that extra edge over the competition. We process and analyze terabytes of data and break down all the fuzz and chatter around it to give our customers meaningful insights about their competition and the market they are engaged in.

Business analytics (BA) is a method combining skills, technologies, applications, and processes that is used by the company to gain valuable insight on the processes of the business by collecting statistical data. BA is used by the company to improve the business decisions and can be used to automate and optimize the business processes. A data driven company, such as SMB Computation treats their data as a corporate asset and uses it to gain a competitive advantage. For business analytics to be successful, skilled analysts who recognize the technologies and the companies, organizational guarantee to the data-driven decision-making must collect quality data (Rouse, 2010).

In the previous section, current traditional analytics capabilities and expertise were described as being the main analytics capabilities while in this section, the missing elements or elements that need to be more in line with the technical considerations of advanced analytics will be described for the three analytics pillars.

In today’s complex business environment, the field of data analytics is growing in acceptance and importance. It is playing a critical role as a decision-making resource for executives, especially those managing large companies. To shed more light on how companies are taking advantage of analytics, “Deloitte Analytics” commissioned The Analytics Advantage, the first in an annual series of surveys focusing on the state of analytics readiness at leading corporations and what the future holds.

As the company yearns to adopt advanced analytics with the focus of predictive analytics, it needed a new, modern architecture and innovative technologies to support it. The process and journey led to the adoption of in-database and in-memory processing. It has been several years of evaluating and exploring different technologies and vendors.

Big Data: Over 40% of our enterprise projects implemented and exposed the capabilities of Big Data. I am very familiar with most products including Oracle 's offerings (e.g. NoSQL Database, Big Data Appliance, Exadata and Cloudera), and other options (e.g. Cassandra, Aerospike and Hadoop). Using predictive modeling and analytics, we analyze the data and create lucid visualizations to better understand customers, products and partners, and to identify potential risks and opportunities for commercial companies and governmental agencies. My deployments cross a wide variety of industries and purposes such as analyzing banking transactions, automating call center responses, and investigating law enforcement records.

“Utilizing software analytics to process the correct data sources and metrics, and then proactively providing relevant and contextual information, is paramount.”

Many businesses plow forward using inferior tools because they’re not sure why or how business intelligence tools deliver value. The beauty of business intelligence is that it improves your ability to identify trends and opportunities, uncover new insights, and refine and enhance operations to achieve business goals. Ultimately, if you don’t have easy access to the right information, evidence-based decision making is impossible.