Self-Serve Data Preparation is the next generation of business analytics and business intelligence. Self-serve data preparation makes advanced data discovery accessible to team members and business users no matter their skills or technical knowledge.
Apache Spark enables programmers with an application-programming interface that focuses on data structure. Apache Spark programming allows Spark consultants to expand the capabilities of development and programming, map functions across data, and simplify data results. The tool supports Hadoop YARN, Apache Mesos, Hadoop Distributed File System, Cassandra, OpenStack Swift, Amazon 53, Kudu, and MapR File System. It offers the Apache Spark developer a powerful tool to work in an integrated environment and simplify the programming environs.
Retail is changing, and it is changing fast! Online buying is having a significant impact on brick and mortar and customer loyalty has changed dramatically. Consumers now have more options and they are leveraging those options to find the best price and the best value.
Anything that can help your business users to understand, interpret and analyze data is a help! Users have many tasks to perform in a given day and while analysis may not be their forte, they definitely need clear, concise data to share, to make decisions and to see opportunities, challenges and patterns.
Making the most of your data can be difficult, especially with so many data repositories, data warehouses and other data storage locations. Whether you have a data warehouse or you are considering implementing a DWH, you need to think carefully about how to structure, organize and integrate data if you are to achieve your data management goals.
Measuring Key Performance Indicators (KPIs) are important to every business, no matter how small or large. In the past, the process of identifying and measuring KPIs was daunting and it required the involvement of analysts and other experts. Today, BI tools and solutions provide multidimensional KPI analytics and feature tools that allow business users to leverage KPI Analytics without the assistance of IT staff or data scientists.
OK, I’ll admit it. Last week, I nearly got kicked out of a nice restaurant in the city. Why? Because my friend, Lucy was telling me about her company’s business decision to build a software product, and she said this, “Our team can handle it. We do application development all the time.” That statement was all it took to drive me over the edge. Call me crazy, but I have lived through enough so-called software product development projects to know that, without the right team and skill set, the project is doomed to fail. No, I am NOT being overly dramatic!
When it comes to business data and business intelligence, no one wants to get caught by surprise. If you are missing data, or if you don’t have the ability to get a 360° view of your data, you just know you are going to miss something and that something will probably be very important.
The term ‘Advanced Analytics’ can seem daunting to the average business user and even to the average business enterprise but the process is not as complex as it may seem.
Advanced Analytics is comprised of numerous sophisticated analytical techniques, designed to parse, explore and analyze data and produce results to support business decisions. Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member. Advanced Analytics provides a 360 degree view of data from data marts, data warehouses, best-of-breed, legacy systems and other data sources. The analytical techniques and algorithms are designed to identify patterns and trends, pinpoint issues and the root cause of these issues and allow the enterprise to capitalize on opportunities and accurately plan for the future.
Assisted Predictive Modeling, Predictive Analytics. Those terms strike terror in the hearts of most business users, and that is understandable. These mysterious-sounding terms sound complicated and lead business users to imagine confounding, confusing algorithms, and endless strings of numbers.
