Big data is the recent trend within different verticals of industries today. Read Whitepaper for enhanced big data solutions.

1. Solutions
Big Data at a Glance
Let’s see about the problems faced by the
enterprises with data accumulation

2. Why is leveraging big data so important to business these days?
Research on big data-including new different types of data that haven’t been analyzed before- offers a higher level
of understanding into what clienteles are planning and the ways in which the company operates. The opportunity
payoffs are improving customer retention, selling individual customers more products, and producing items with
excellent quality minimizing the ROI. Research has revealed that, with proper use, big data can definitely enhance
the bottom line to produce an impact on the overall profitability of an organization.
Enterprises must learnhow to leverage big data soon, ever since the volume of data being generated shows no signs
of scaling down. Big data is the recent trend within different verticals of industries today, but leveraging new types of
data to turn information into insight presents many challenges.It is quite difficult for the companies to collect, store
and analyze immense volumes of data. The four key factors have driven the need for many firms are commoditization
and digitization of products and services, ever-increasing activity and expansion into new markets,new sources of
data that are complex to ingest, and increased the demand for predictability and integrated solutions for capital asset
management. It’s truly a big data problem to scale services companies need to manage today is overwhelming
traditional systems.
“On the Brink. Too Much Data!”
Dazed and Confusedabout the Big Data? Let me illustrate it!
On an average, we generate 2.5 quintillion bytes of data every day and the world is exploding with the rising amount
of data, which is in the form of structured or unstructured pattern. Big data is a collection of data sets; the larger it
gets, the more difficult it becomes to manage and process using traditional data processing applications or available
database management tools.
What are the significant challenges in leveraging big data?
In the event you take a look at how systems are widely used today, we've got data warehouses built using relational
technology like Organization Database and Exadata, which give an understanding the way the businesses are
running and the way to revitalize it. Big data in most of the ways areundoubtedly - a natural evolution. What’s
different in big data is the revolutionary data sources; new forms of data not formerly captured, stored, or
analyzed. Substantial volumes of data are acquired very quickly, and may even not be orderedstructures, which
could make storing and analyzing it a challenging task.
Where are most companies falling on the big-data learning curve?
In the latest scenario, you might have all this data being generated and often it’s not stored for long-standing
analysis because there really hasn’t been an economical method to capture and store it, so organizations therefore
aren’t getting the right value from using it. Moreover, nowadays, you will find new techniques, which can be cost
effective and simpler for everybody.

3. What are the relevance and significance of Big Data in Todays perspectives?
Everything that is connected to the internet and digital is 'data'. A number of devices or products are connected to
the internet, which provides data. Acquiring large amounts of data is not a real problem, but what matters is what
you do with your Big Data. It is a good to have Hadoop a latest technology for managing new sources of data, but
not forgetting everything that’s been developed during the last twenty years. Hadoop becomes an extension of that,
adding big data sources into your overall information architecture.
What companies are providing extra, who are looking to analyze big data?
The organization provides the broadest and most integrated enterprise-ready big data platform, including the
organization Big Data Appliance, Company Big Data Connectors, Exadata,and Exalytics In-Memory Machine. By
developing and optimizing the technologies required to obtain, organize, analyze, and decide on big data,the
organization has created it in a quite simple way to start and maintain big data projects. Furthermore, the
organization will be the single point of contact for assistance and upgrades, problem resolution becomes
significantly faster. In this way, customers don't incur the price and energy of tracking and building diverse open
source projects.
How to harvest every source of big data?
Creating lot of opportunities for customers to provide more and more data, encourage the partner with external
providers, and produce insights through cutting-edge analytics and research.
How to get personal in selling?
Enterprises can use micro-segmentation and personalization analytics to create tailored selling propositions and
approaches that indeed meet buyers’ requirements.
How to put big data at the heart of sales?
To develop a competitive advantage make data available to everyone, scientific investigation of growth
opportunitiesis needed, and decisions based on big data cornerstones of both sales plan and sales culture.
How Big Data impacts on IT?
Big data is a troublesome force presenting opportunities with challenges to IT organizations. To understand its full
potential to the organization, big data analytics requires a new method of capturing, storing, and analyzing data.
How Big Data has become synonymous with IT infrastructure challenges?
Big data demands on infrastructure to support the unstructured data analysis, security capabilities that protect
highly-distributed infrastructure and data, skill sets required for identifying opportunities by using statistics,
algorithms, mining, and visualization, storage that's efficient and economical enough to capture and store
terabytes of data, Infrastructure which is designed for large-scale, distributed, data-intensive jobs that spread the
situation across clusters of server nodes.Together with assessing the readiness of your staff, it's also vital to
assess your IT infrastructure for the incorporation of Big Data strategy. Since Big Data processing is completely
different from the “old style” process performed by traditional servers. To integrate new business rules, measures,
and tracking systems for Big Data applications, you need to make changes in your IT infrastructure.

4. Why a buzz of the Data Scientists everywhere and is your workforce ready?
For big data, analytics or BI implementation there are a great challenge finding skilled personnels. A successful
implementation of data analytics initiatives comprises of IT, business users, and “data scientists” close
collaboration that will resolve the right business problems by identifying and implementing the data
analytics.Before you approach Big Data vendor and think to jump-start Big Data projects, it's necessary to ensure
that your enterprise has Big Data talent on staff. Make sure you assess the readiness of your staff before you invest
in Big Data technologies. Big data uses parallel processing and drives large lump of semi-structured and
unstructured data through analytical algorithms.
When to consider a Big Data Solutions?
Most successful enterprises Globally, IT is a fundamental driver of innovation. When dataaremanaged well, the
burgeoning size of data flowing throughout the organization offers unprecedented potential for decision makers to
glean fresh insights that stimulate innovation and surpass managerial goals.
How can we help you to handle it?
Taking into account that your IT infrastructure and staff might be at early stages of readiness, you should set
strategies for Big Data, which will be first deployed and then gain maturity as time goes on. You can take a help
of a consultant and arrange training for staff to take over things. Initially you might want to outsource Big Data
processing to a cloud provider, which gives your enterprise an opportunity to analyze initial process – and
figure out whether it makes profitable sense to get HPC (high performance computing) resources for Big Data
in-house.
Plan out some strategies
Strategies Implementation
Operational Challenges
Business Solutions
Business Results
A Big Data project is just similar to other IT projects, which has to be initiated as any other small pilot project at
first. This endeavor will help your enterprise to understand this technology better and what steps you need to
take from the IT prospective to get the most of Big Data project.
Tactics for beginning a project
Conclusion
Using our proactive solutions, firms get access to a robust platform providing both highly scalable and affordable
data storage firmly integrated with scalable processing. Organizations are now able to tackle increasingly
complicated problems by unlocking the strength of their data. The proportions to comprehend and do something
about their data pave the way to a richer and more robust ecosystem.

5. Solutions
Softweb Solutions
2531 Technology Drive,
Suite 312,
Elgin, Illinois 60124
US Toll Free Number:
866-345-7638
Website :
Email :
www.softwebsolutions.com
info@softwebsolutions.com
Result
Companies can better serve their clientele, understand their risk exposure, and minimize incidents of fraud. It is
our strategic solution implementation, and management partner, assisting you to gain competitive edge with the
use of your Big Data.
About Softweb Solutions
Softweb Solutions provide exclusive solutions in Mobile Device Integration for all mobile platforms such as iOS,
Android, Blackberry, Symbian and Windows. Softweb Solutions have served leading mobile device integration
requirements with award winning apps. For more information, write to us on or visit us atinfo@softwebsolutions.com
www.softwebsolutions.com