Big Data

White Paper: ENSIGN

Background Domain Generation Algorithm, otherwise known as DGA, remains a potent technique used by cyber actors in their malware attacks. It begins with an automation programme designed to generate names of domains in a specific fashion, providing instructions and receiving information from malware. The use of DGAs allow attackers to quickly switch domains during malware attacks and circumvent traditional rule/signature-based security appliances aimed at blacklisting such malicious domains. Since DGAs are built and designed to generate thousands of domains, and remain active only for a limited period of time, efforts to tackle them could at times prove futile. Blacklisting a static list of malicious domains is no longer sufficient, given the unpredictable/non-static nature of a DGA, and the sheer volume of domains it uses. To address such attacks, we infuse machine learning and deep learning approaches into our advanced cyber analytics capabilities. These techniques facilitate the detection of elusive random domains generated by the malware when it attempts to connect to the attacker from a compromised host. Our proprietary DGA detection model possesses the ability to sieve through large traffic to ascertain the presence of DGA traits. It also determines if successful communications to malicious domains were made.

White Paper: Sisense

To capitalize on the value of their information, many companies today are taking an embedded approach to analytics and delivering insights into the everyday workflow of their users through embedded analytics and business intelligence (BI). However, in order to successfully expose analytics to customers and partners, companies are faced with three main challenges such as manage complex data quickly, sharing data and insights securely. This guide includes a general overview of  BI & Embedded analytics, the different approaches to embedding BI and analytics, and the benefits and challenges of the most popular BI solution technologies that offer OEM partnerships. Key takeaways form this white paper: An overview on embedded business intelligence & analytics How to Make Analytics Your Competitive Differentiator Top Approaches to Embedding Analytics Comparing Embedded Analytics Partners Unique Technical Benefits of Sisense OEM Solution

White Paper: Systech

The main aim of this research paper is to understand the term “ Offshore Outsourcing ” and to realize the worth of Offshore Outsourcing, which stands of prime importance for every organization in U.S.A today. This white paper discusses how outsourcing has grown from just a business aid into a complete business in itself.

White Paper: DataFactZ Solutions

Data visualization is an effective way to create impactful reports, dashboards that improve decision making, enhanced ad-hoc data analysis, better information sharing, increased ROI, time saving and reduced burden on IT. Data visualization is an essential component in the era of big data, enabling users to see trends and patterns that provide actionable intelligence. This white paper talks about data visualization techniques that enable the user to make faster decisions and a better technological investment. Inside this Visualization White Paper: Interactive visualization: Clear and effective in communicating the content List of DOs and DON’Ts in data visualization Guide to choose the right chart type for successful data visualization

White Paper: DataFactZ Solutions

Apache Spark is the next-generation distributed framework that can be integrated with an existing Hadoop environment or run as a standalone tool for Big Data processing. Hadoop, in particular, has been spectacular and has offered cheap storage in both the HDFS (Hadoop Distributed File System) and MapReduce frameworks to analyze this data offline. New connectors for Spark will continue to emerge for extracting data from various data sources. This whitepaper provides insights on how Apache Spark stands out as a next-generation super-fast distributed computing engine for Big Data applications. White Paper Discusses About: Inception of Apache Spark Spark Ecosystem: A unique API library design Range of libraries supported by Spark

White Paper: Intersec Group

The advent of open‐source technologies fueled big data initiatives with the intent to materialize new business models.  The goal of big data projects often revolves around solving problems in addition to helping drive ROI and value across a business unit or entire organization. It’s often difficult to launch a big data project quickly due to competing business priorities; the myriad of technology choices available as well as, the sheer size, volume, and velocity of data. Key questions from this whitepaper: What are the common questions and challenges that the operators are facing when starting a Big Data project? What are the best practices to avoid being trapped in the ever‐lasting big data project that fails to generate any revenue? Should the big data project be carried out by the IT department or should it be led by a dedicated organization, under a new function like a Chief Data Officer, distinct from traditional IT?

White Paper: Inspur Group Co. Ltd

Apache Spark is a fast and general engine for large-scale data processing. To handle increasing data rates and demanding user expectations, big data processing platforms like Apache Spark have emerged and quickly gained popularity. This whitepaper on “Optimizing Apache Spark with Memory1”demonstrates that by leveraging Memory1 to maximize the available memory, the servers can do more work (75% efficiency improvement in Spark performance), unleashing the full potential of real-time, big data processing. This Technology Whitepaper Covers: How Spark works? What are the issues that subvert the full potential of Apache Spark’s disaggregated approach? How to simulate the critical demands of a typical Spark operations workload? How to eliminate the hardware cost concerns traditionally faced in multi-server Spark deployments? What efficiency metrics are involved in the Spark operations? Key issues faced by Spark in traditional, DRAM-only deployments How to Avoid the high cost of DRAM-only implementations in Apache Spark architects

White Paper: Affirma Consulting

Business Intelligence derived Information and analysis can lead to a tremendous return on investment (ROI) if implemented correctly. You can improve the decision making processes at all levels of management and improve your tactical and strategic management processes with it. Do you have quick access to actionable data? Would you like to increase collaboration and unlock insights from your business systems? If yes! Read this whitepaper that addresses the following questions: What is Business Intelligence and why do organizations need it?  Is it the right time to implement Business Intelligence for your organization?  How to select the correct Business Intelligence solution for your business needs?

White Paper: Datapine GmbH

Self-service BI(business intelligence) is growing with major shift from IT driven process to self service approach in Business intelligence. Instant insights with self-service reports are demanded by decision makers, as they need right data at the right time to make the right decision. Why are organizations adopting to self-service business intelligence (BI) tools ? What advantages do self-service BI offer over traditional BI? What's the difference between "self-service" and "traditional" business intelligence? How can self-service BI improve your business? What are potential advantages and challenges of self-service business intelligence tools?  So if you want to eliminate the traditional time-consuming reporting process, self-service business intelligence tools can help you analyze what is happening in real-time. Check out this whitepaper outlining ten reasons why you need a true self-service BI solution, and what that solution should offer.

White Paper: InfoTrellis

With technologies like Customer 360 and Mobile Device Management (MDM), you can obtain an accurate assessment of customers by extracting customer details from all possible data sources. Customer data management is becoming more complex than ever. Hence, it is recommended to choose the right technology for the most comprehensive view of the customer and to integrate the data within the various technologies. Read more about MDM and Customer 360 in this report that includes: 1. The Purpose of MDM and Customer 360. 2. The Benefits of Customer 360. 3. The biggest challenges in developing a 360-degree view of the customer. 4. The Challenges of Unstructured Interaction Data.

White Paper: Kavi Global

Analytics strategy has to be very closely aligned with the business strategy as business transformation is not an isolated activity. An analytics strategy can identify the gaps in terms of organization and people, processes, technology and data are and proactively address them to be successful. So, what really is an analytics strategy? The key to success is a clearly defined vision and an analytics strategy. Whether you are planning an enterprise wide analytics program to transform the business or an analytics initiative that would benefit a single department, a well-planned Analytics Strategy can make all the difference by proactively addressing the reasons for the failures. Are you struggling to bring analytics to the business strategy?? Then read this whitepaper that explores enterprise data analytics strategy, best practices, risks associated and how to mitigate them. It highlights: How to successfully execute an enterprise analytics strategy? Where in the business processes can analytics strategy be applied? What are the quantifiable benefits of doing so?  What are the best known strategies to prepare data for analytics? What are the keys to develop a successful analytics strategy?

White Paper: Metric Insights

Many healthcare organizations have implemented Business Intelligence (BI) tools for healthcare analytics in the hopes of making their operations data-driven and therefore more effective.Yet,despite the investment of billions in these tools, the technology has under-delivered on its promise. This white paper addresses seven areas on which a healthcare IT organization should focus to ensure success in implementing Push Intelligence: • Provide insights that find the practitioner, not the other way around  • Never require users to wait  • Personalize delivery of Metrics • Allow Context and Collaboration • Remove training from the equation  • Deploy quickly and iterate • Seamlessly interface with existing applications  

White Paper: Actian

Four undeniable trends shape the way we think about data – big or small. While managing big data is ripe with challenges, it continues to represent more than $15 trillion in untapped value. New analytics and next-generation platforms hold the key to unlocking that value. Understanding these four trends brings light to the current shift taking place from Big Data 1.0 to 2.0, a cataclysmal shift for those who fail to see the shift and take action, a catalyst for those who embrace the new opportunity. Key take aways from this white paper: 5 Advancements of Big Data 1.0 5 Challenges of Big Data 1.0 Big Data 2.0 – Transformational Value Big Data 2.0 Means Big Value Times Ten  

White Paper: XPatterns

Building successful Big Data solutions is all about taking advantage of volume, velocity, variety and visualization through analytics and making it accessible to all.  Building successful Big Data solutions is all about taking advantage of volume, velocity, variety and visualization through analytics and making it accessible to all. This Big Data whitepaper addresses queries like: Does your Big Data solution secure data out of the box? What are the big data opportunities and challenges from data analytics perspectives? What are the essential steps and mindsets you must consider when implementing big data solution for your business? How xPatterns helps in mitigating the challenges faced by the big data and advancing the insight? Explore this whitepaper on Big Data to learn more about: Building blocks of a successful big data deployment Advanced big data analytical tools and techniques Business opportunities to leverage Big Data through advanced analytics Lower the barrier of entry for any enterprises or application to take advantage of Big Data opportunities

White Paper: Forrester Consulting

In a comprehensive six month study conducted in 2012, Mattersight Corporation ("Mattersight") commissioned Forrester Consulting to examine the total economic impact and potential return on investment (ROI) enterprises may realize by deploying its Behavioral Analytics platform. The Behavioral Analytics platform captures customer and employee interactions, and then automatically analyzes those interactions using proprietary algorithms and unique behavioral models. The output of this analysis is new data attributes on every interaction measuring customer expectations and behaviors, as well as employee performance. This data is then leveraged by three primary products which comprise Mattersight's Behavioral Analytics platform to drive significant business value - Predictive Behavioral Routing, Predictive Customer Analytics and Employee Performance Management.