Top Big Data systems

Big Data usage is a wonderful way for organizations to stay ahead of the competition. There are several top big data systems that a company could integrate into its processes.

BIG DATA, A NEW COMPETITIVE ADVANTAGE

Using Big Data is becoming an integral way for leading organizations to outperform their peers. In most industries, new entrants and established competitors alike would leverage data-driven strategies for innovating, competing and capturing valued. Early Big Data adopters use data from sensors that are embedded n products, from kids’ toys to industrial goods in order to determine how the products are used actually in the real world. Such knowledge then informs the making of new service offerings as well as the design of future products.

Big data is a do-or-die requirement for businesses these days. There are various big data systems that could be used for business. Check out some of the top big data systems at present.

BIG DATA SYSTEMS

SISENSE

Is the only BI or business intelligence software that makes it easier for users to prepare, analyze and visualize complex data. It offers an end-to-end solution for handling growing sets of data from numerous sources, which comes out-of-the-box with the ability of crunching terabytes of data as well as support thousands of users, all in one commodity server. The system already has won over the hearts of several of the leading, most data-intensive companies in the world, which includes NASA View Profile, eBay and Henry Schein.

MOZENDA

Using easy and simple point-and-click interface, Mozenda allows automating the process of extracting certain images and text form any site. In minutes, rather than hours, one could create an agent and extract data from numerous web pages. Since data is harvested in the cloud, there is no need for additional hardware or IT service to begin. Using a Web Console one could schedule, organize, run view and export data in the format of choice.

RADIUS

A B2B predictive marketing platform, which uses data science to empower income-driven markets to look for and engage with their best customers fast. Powered by real-time business graph of more than 50 billion dynamic signals from more than 20 million businesses in the United States, it bridges the gap across data, insights of customers and execution. Moreover, it addresses use cases all over the funnel with solutions that include predictive acquisition, account-based marketing and productive prioritization.

DATAPLAY

One could significantly cut the time spent on data analysis and presentation. The DataPlay Suite automates MS PowerPoint presentation generation via a set of data analysis, data visualization and storage solutions. The apps boost the researchers’ productivity through empowering them with intuitive tools for automating SPSS data visualization. All apps are stored securely in DataPlay Cloud, enabling users to share information in a secure manner.

MONGODB

By providing the best of traditional databases and flexibility, scale and performance that apps today require, it enables innovators to deploy applications as large as they could imagine. From startups to enterprisers, for modern and mission-vital, MongoDB is the database of choice for huge ideas.

REVOLUTIONARY

The name pretty much implies the data analysis time today. Businesses grapple with big quantities and kinds of data on one hand, and ever-faster analysis expectations on the other. The vendor community responds through offering highly distributed architectures as well as new memory and new processing power levels. Also, upstarts exploit the open-source licensing model, which is nothing new, but is growing in acceptance and even sought out by data management professionals.

APACHE HADOOP

It’s a 9-year old open source data processing platform that is first used by internet giants including Facebook and Yahoo. It leads the big data revolution. Cloudera introduced commercial enterprisers support in 2008, and MapR and Hortonworks piled on in the year 2009 and 2011. Among the data-management incumbents, EMC-spinout Pivotal and IBM each introduced its own Hadoop distribution. Teradata and Microsoft offer complementary software as well as first-line support for Hortonworks’ platform.

SPSS

An organization has more data than ever, however, basic statistical analysis tools and spreadsheets limit the usefulness. SPSS software could help find new relationships in data as well as predict what would likely happen next.

NEURAL DESIGNER

A professional software for advanced analytics. It’s based on neural networks that are considered the most powerful methodology for data analysis. It contains a graphical UI that defines the workflow clearly and offers extensive results. In summary, Neural Designer enables getting actionable insights that result in smart decisions as well as better business outcomes.

CLEAN AND MATCH

Is a data cleansing and matching suite by Clean & Match. It is especially designed to boost the accuracy of a business or consumer data. The software suite is ideal for cleaning, correcting and de-duplicating mailing lists, spreadsheets, databases and CRMs. It has 7 data cleaning modules and advanced fuzzy matching.

The Big Data era could yield new management principles. More benefits await companies that capture more and better data and use data effectively as well.

Ritesh Mehta is the Sales Director at TatvaSoft Australia, a Software & mobile app development company. For Over 15 years, he has been professionally active in financial management, software development.