Lockwood Lyon

The promise of big data is the ability to use high-speed advanced analytics on large stores of relevant customer data to discover new relationships that lead to a deeper understanding of customer needs, optimal pricing, better product and service delivery, and ultimately higher profits. The ability of these analytics to deliver quality solutions depends not […]

Early adopters of Big Data technology were sold special hybrid hardware / software solutions that included descriptions like, “black box”, “plug and play”, and my favorite, “no performance tuning required”. Today, as solutions have matured and customers have become better educated in the capabilities of these vendor solutions, everyone now realizes that, yes, in order […]

Big data applications tend to have massive data storage capacity coupled with a hybrid hardware appliance and analytical software package used for data analytics. These applications are not typically used to process operational data; rather, users query the data to analyze past product sales, forecast trends, and determine future customer buying patterns. Big data applications […]

Many companies have implemented big data applications. These applications consist of a very large data store, hybrid hardware and software to store and access the data, and a sophisticated software interface that accepts the queries of business analysts, accesses the data store, and provides answers that can be used to understand customer needs, simplify business […]

Most large organizations have implemented one or more big data applications. As they accumulate more and more financial transactions, sales data and customer interactions they can generate more accurate sales forecasts and predict trends in customer needs. This translates into larger market share and higher profits. However, as more data accumulates internal users and analysts […]

Big data is everywhere, and most large IT enterprises have installed one or more big data applications. These applications provide fast access to large stores of data, usually customer or sales data. Your technical staff that supports these applications and the systems that analyze and consume the data didn’t exist ten years ago. Who are […]

The end-of-year holiday season is an important one for grocers, retailers, manufacturers, shipping companies and financial institutions. Millions of customers will buy billions of products, many of which will be purchased electronically and delivered to customers’ homes or offices. This is also a critical time for your big data applications and new business analytics. They […]

Big data software, hardware, application suites, business analytics solutions … suddenly, it seems, IT enterprises are deluged with vendor offerings that solve problems it didn’t know it had. Competitors are gathering data to determine customer needs, define new product categories, and increase profits. Common applications include storage and analysis of customer sales data, web interactions, […]

Big data applications are now fairly commonplace in large organizations. They typically begin as part of an information technology (IT) project that will extract, store and analyze large amounts of existing data in order to reduce costs, predict customer buying patterns, speed product time-to-market, and forecast raw materials and production capacity requirements. It is, however, […]

Big Data implementations are more than just lots of data. Of equal importance is the analytics software used to query the data. Analyzing business data using advanced analytics is common, especially in companies that already have an enterprise data warehouse. It is therefore only natural that your big data application must be integrated with the […]

The implementation of big data solutions has left many IT departments with a dilemma. Big data applications do not need the same infrastructure support teams as do more common applications. As the enterprise embraces big data, management assumes that staff sizes will decrease. What should be done with those unneeded technologists? One answer: convert them […]

Technical support teams usually support familiar hardware and software configurations. Specialization in particular combinations of operating systems and database management software is common, and this allows some team members to gain in-depth experience that is extremely valuable in an enterprise IT setting. How has big data changed this paradigm? The Database Support Team One of […]