Competitive Intelligence Software Maker Big Data – Mere collection of data does not release its business effectiveness. Big data is a term that refers to the large amount of data – both structured and unstructured – that overwhelms a business every day. But it is not the amount of data that is important. What matters is what organizations do with the data. You should review all big data companies before choosing one to get the right data for your business.
Here are the top 15 big data companies and how they stand out, based on the sources that rate them highly.
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Founded in 20014, Palantir builds software that connects data, technology, people and the environment. Big data revenue topped $418 million, with a 50-50 split between software and services. Key customers include the S.E.C., which hired Palantir to help the government analyze data to find terrorists and help detect illicit trading activities. What does Palantir software do? It allows non-technical users to visualize arrays of data from multiple databases in a user-friendly way. This way they can look at specific pieces of information and the links between them so they can find answers to complex questions and find the proverbial needle in the haystack. (Source: Information Management)
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PriceWaterhouseCoopers generated $312 million in Big Data revenue in 2013. All of these revenues were related to consulting services. Opportunities would continue to be strong given that 41% of PWC customers are concerned about heavy data congestion. PwC is one of the world’s leading companies offering consulting services to financial institutions with complex, computerized systems and huge amounts of data. (Source: Information Management)
IBM has thrived in the big data market with $1.37 billion in revenue. This revenue was split between hardware (31%), software (27%) and services (42%). Looking to potentially increase those big data revenues, IBM expanded its Cognos releases focused on cloud computing while working more closely with Watson-specific software. IBM is a big big data play through which it tries to be relevant to all market sectors. The company launched 20 industry solutions in an effort to incorporate analytics into all areas of the mature big data market. (Source: Information Management)
Domo is not just another business management tool. Rather, we understand that Domo is a smart dashboard that displays and analyzes various key business metrics in real-time. Its ability to not only gather information that is usually scattered across different sources (such as spreadsheets, social media or databases) into a single dashboard, but also continuously refresh the results, is transformational for those involved in business. Domo also announced that it had received $200 million in Series D funding last April. Domo has been around since 2010, but that’s still an absurd amount of funding for a company that just went public. (Source: Tech.co)
Roundforest was named one of 16 Israeli startups ready to take on 2016. Roundforest is a data-driven e-commerce startup that optimizes every step of the consumer purchase journey. They have developed a proprietary automated engine that takes the guesswork out of optimizing performance. Its founders previously worked at Google and Intel and are committed to using their expertise in machine learning and data analytics to help consumers make better purchasing decisions, especially as Roundforest already reaches over 10 million monthly users. (Source: Tech.co)
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It’s safe to say that 2015 was SQream’s best year yet. Last year, SQream won five major awards (Red Herring Global 100, Red Herring Asia 100, Best in Biz, Stevie and Tech Trailblazers Regional), launched its second product (GenomeStack), and raised $7.4 million in Series B funding. In 2010, SQream Technologies introduced its GPU-based technology that uses massively parallel computing to boost analytics performance up to 100 times faster than the competition—meaning that Teradata, IBM Netezza, Oracle Exadata, and Amazon Redshift on the Cloud would indeed be careful. SQream bravely takes on the Goliaths. (source: Tech.co)
Quaero’s Data Management Platform (QDMP) and its AdVantage platform are built on top of Cloudera’s Distribution of Hadoop (Cloudera Enterprise). The AdVantage platform is designed for clients in the media industry to better understand their audience, improve engagement, create richer experiences and increase overall audience value. Quaero has deployed the platform for several clients in the media industry (ranging from ~3MM to ~1.5 billion records per day). Cloudera Enterprise offers the right combination of components to create a robust data platform that supports both reporting and analytics that can handle all types of data. (Source: DeZyre)
InsightSquared is a sales performance analytics company for high-growth technology companies. Unlike spreadsheets, InsightSquared’s visual reports and maintenance-free dashboards provide a customized lens into real-time sales results. InsightSquared offers a robust, powerful data intelligence system that is accessible and affordable. InsightSquared is entirely web-based, so setup is quick, painless, and requires no dedicated IT staff. Prices are set monthly, eliminating expensive upfront payments. Features include activity tracking, employee scorecards, sales forecasting, ratios and KPIs, data quality monitoring and more. With InsightSquared, users have access to dashboards and interactive visualizations that take static data and create charts with dynamic depth capabilities configured to track almost any type of data critical to business operations. (Source: InsightSquared)
Trifacta enables organizations to use data to drive innovation by providing a more productive and accessible method for exploring and experimenting with data of all shapes and sizes. Data wrangling – formatting and cleaning – is a pain point and stumbling block for many, but often not much visualization or analysis can be done until the data is organized. My projects folder is filled with one-off Python scripts written for specific data sets (and steps). Trifacta Wrangler aims to streamline the process through a click-to-click interface and automation. The desktop software is free to use and is available for PCs and Macs. (Source: DeZyre)
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More and more companies are implementing Hadoop systems, using them to gather vast amounts of disparate data from multiple sources. But using that data isn’t so easy—most traditional business analytics tools can’t directly access Hadoop data, and IT departments must step in to prepare the data or move it to another system so it’s available to everyday business people. . Arcadia Data develops visual analytics software that overcomes these barriers by directly accessing data stored on Hadoop clusters. The technology uses Hadoop as an operating system, allowing it to run directly on Hadoop servers and access data stored in Hadoop’s distributed file system. (Source: CRN)
San Francisco-based DataHero is focused on developing “self-service” business analytics software. DataHero’s cloud service collects data from sources as disparate as Box, Dropbox, Google Drive, Excel, Office 365, Marketo, HubSpot and Eventbrite and turns it into charts and dashboards. The challenge for the business analytics software industry has been to develop analytics applications that can be used by a wide range of everyday business users without a large IT department. DataHero is one of the few companies that comes close. (Source: CRN)
Interana is another big data startup developing technology to help businesses analyze streaming data in real time. The company’s event-based analytics software works with clickstream data and other event-based information to help users answer questions about customer behavior and product usage. The goal is to provide actionable business information to non-technical users. You no longer have to have a department of people who are high priests of data. Now the person who needs the data, the person who wants the company to get answers from the data, can have direct access to it. (Source: Tech.co)
Fast and inexpensive processing of large data in an encrypted cloud using the company’s so-called Big Data-as-a-Service offerings, divided into Data Lake, Data Mart and Sandbox editions. Cazena aims to greatly simplify the processing of big data for companies. Ideally, setting up a data processing job with Cazena should only take three clicks. The service takes the hassle out of trying to automatically figure out what technology to use to analyze a given data set. It then automatically provisions, optimizes, and manages that workflow for its clients, whether it’s a Hadoop, Spark, or MPP SQL (think Amazon Redshift) job. The company is run primarily by former movers and shakers from Netezza, the data warehouse company IBM bought for $1.7 billion in 2010. (Source: Network World)
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A cloud-based consulting marketplace built to match big data and analytics experts with clients who need their services. Experfy provides consulting services, big data readiness assessments, roadmaps, predictive dashboards, algorithms, and multiple custom analytics solutions. The expert panels consist of a hand-picked group of big data leaders in a variety of areas of expertise, from marketing analytics, personalization and security analytics to financial services, healthcare and retail. In addition, Experfy’s proprietary data platform, tools and processes support repeatable projects and use cases in specific verticals. Experfy provides a self-service model for smaller businesses and a high-touch concierge service with project management for larger businesses. (Source: Forbes)
Tamr uses machine learning and human input to enable customers to leverage data currently housed in a variety of databases, spreadsheets, journals, and partner resources. Most companies have dozens of Oracle instances, hundreds of databases, and many thousands of tables. [Currently] it is not possible to create a catalog and find out what is available there. A central can be created for that
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