Business IntelligencePosted by Dhruv Wed, October 21, 2015 08:05:45
Healthcare is one of the important sector for any
government. With help of computer
technologies healthcare industry has seen a lot of changes.
Today, Electronic Medical Records are essential for any
hospital or individual doctors. But,
multiple sources of data and quality of data are still challenges for health
BI provides tools to convert multiple data sources into one
repository from where you can get insights to meaningful information. Also by using computer technologies and BI,
errors in medical data can be reduced.
BI tools provide real-time analytics, quick information
accessibility, insights into Key performance indicators (KPIs), Score Cards,
Charts within few seconds/minutes.
5 Healthcare specific functions provided by BI products are:
Healthcare data integration/Data
By using BI technologies healthcare organizations can
Availability of patients historical data
Prevention of disease
Better Care of patients
Listen to patients demands, likes, dislikes
Better integration of patients, devices and
By using patients’ historical data doctors, nurses can
provide better treatment to patients.
Mobile devices can be used to continuously monitor patients’ health
information and when values reach at defined state, alerts can be sent to
patients and doctors. This can make
quick care available to patient before patient’s health becomes worse.
Analysis of financial data and patient admission data can
help determining number of patients in future, requirement of new devices in
near future, and also reduced costs of treatments with improved quality of
care, which is a major challenge for today’s healthcare industry.
Even events data like when football games are going to occur
and possible number of injuries can help hospitals plan better.
Spread of diseases like swine-flu can be prevented by using
BI technologies. Patient’s genomic data
analysis can predict future diseases of patient.
Source of data is not only EMR data, but feedback from
social media by patients is also important.
Analysis of social data can also provide insights to hospitals to
understand patient’s needs.
For Health insurance companies, BI tools can help them in
reducing claim response time and identifying fraudulent claims.
Today, many bi analytical tools are available at affordable
cost for healthcare industry.
In future, BI technologies will provide better solutions for
Business IntelligencePosted by Dhruv Thu, September 03, 2015 08:49:57
Big data can help all industries
Irrespective of size of its size. Businesses in retails industry face the
issue of “Out of Stock” which might get customers to switch over to other
companies and ultimate result could be loss in revenue. SCM (Supply Chain
Management) is very crucial for deciding the success of any organization.
When to re-order and what should be
the re-order quantity are biggest questions that arise for retailers.
Doing these manually is time-consuming; using the right tool to handle Big Data
to its full extent can solve these issues of retailers.
Many retail giants like Amazon and
Flipkart are utilizing Big Data to stay in the ever challenging
competition. Traditional old methods are things of the past and if you
are one of the unfortunate users than better take action now than later.
Not only this, Big data can also
make predictions. Companies with multiple branches can maximize their
potential by identifying the troubled areas and take actions before it becomes
serious issue for the company.
So the Future of Retail industry is growing ever
so fast and Big Data is playing crucial role in making best out of these data.
Using the right tool can surely make a huge difference.
Created By Berkshire Solutions Ltd
Business IntelligencePosted by Prashant Mirchandani Tue, August 19, 2014 09:36:15
Let’s start with a conversation about basketball before we dive into data visualization. In 1993, at age 30 and after leading the Chicago Bulls to three consecutive NBA championships, Michael Jordan (typically referred to as the best player of all time) announced his retirement from basketball to pursue a career in professional baseball. That second career lasted less than two full seasons in the minor leagues, where one of the greatest athletes of all time struggled to even be called “average.” He eventually returned to basketball and led the Bulls to three more championships.
As amazing as he was, Jordan couldn't transfer his ability into another “medium.” His years of honing his skills as a basketball player didn't translate to baseball. His expertise in one sport did not automatically qualify him for success in another.
This same principle holds true for data visualization. Too often, marketers, CEO s, data analysts and more assume that a data visualization is just a graphic with some charts on it and treat the design process as the same. This leads to poorly created visualizations, lengthy revision cycles and generally a dissatisfaction with the final product.
Visual Communication through Data Visualization & Info-graphics Stand Apart from Graphic Design :
A painting, a piece of prose, a dance, a powerful concerto, or a line of poetry: Each of these is a separate and distinct medium of expression. Each invokes different reactions and emotions. Each works differently, and demands its own degree of expertise.
It’s why Michael Jordan couldn't hit a curve ball.
Data visualization isn't just an extension of graphic arts. It’s a medium that demands specific expertise. You may have that person in-house, in the form of an information designer, but many companies need to look externally for this resource. But, even with the right designer, your job is only just beginning.
Good Visual Communication Design and Data Viz Start with Knowing Your Data Story:
Data visualizations are a unique communication medium in that they tell a complex data story visually. It’s crucial, then, that your visual communication projects start with a story. You have some information you want to share with your audience and you want it to inspire some action from them. Knowing the final objective of the visualization is so important that an experienced information designer or visualization agency won’t even begin designing until this step is accomplished.
Finding that story can be difficult, especially when the impact of a data set isn't clear. That’s where you can leverage additional resources to understand what your information actually means to people. Try these resources to help you interpret the story your data tells its target audience:
Another Department in Your Company – other departments will bring their own perspective to the data and show you how it impacts the people they work with most often (prospects, existing clients, past clients, vendors, etc…)
A Long-Standing Client – letting your trusted and long-standing clients look at your data and help you interpret what impact it has on them is a great way to get the general client perspective.
An Experienced Data Visualization Agency – Data visualization agencies look at data every day and help companies tell the stories behind it. Use one as a resource to understand what your data can say.
After you've decided on the story you want to tell, take a moment to be sure that your data actually backs it up. If your data doesn't correlate, you can either find a different story or collect other data. Either solution, in the long run, is better than trying to force a visualization to represent the data in a way it doesn't fit.Define the Audience for Your Visual Content:
Storytelling 101 (and thus, Marketing 101) is “know your audience.” Because data visualizations tend to tell a complex story, the more you know about the target audience, the more powerful the data visualization will be.
By knowing your audience, you know how:
Data should be gathered – Collecting the data that matters to the final audience the first time around saves time and money by avoiding costly re-gathering.
Data should be set up for presentation – Knowing the expertise and experience of your audience allows you to know how complex the presentation can be (and how much background needs to be explained).
The data visualization should be distributed – Getting your visualization in front of the right people means putting it where they’re already hanging out. Knowing your audience means that you know how to reach them.
A final piece of visual content like a data visualization or info-graphic is often a static image – and that has led people to believe it’s just another “graphic design project”.
Remember that visualization is its own communication medium, requiring a different level of expertise and different work before any lines are drawn. Get started right, and have the right members on your team, and you won’t be driving the lane when you should be swinging for the fences.
If you feel you’re not getting full value from your organization’s available information, Boost Labs can help you unlock the business potential of your information through visual content marketing strategies and practical information design.
Business IntelligencePosted by Prashant Mirchandani Fri, August 01, 2014 06:03:27
The world is generating humungous amount of data every second. Rapid advances in technology is making analysis of such data a cake-walk. Big Data is influencing every aspect of our lives and will continue to grow bigger and better. Retailers will push us to buy extra chips and soft drinks from the nearest outlet as we will watch the T20 match with our friends and our favorite teams are playing. They will even recommend our favorite party songs CD and encourage us to donate a dollar to our often visited charity. Preventing diseases, share trading, marketing efforts and lot of other use cases are emerging.
Big Data is changing the sports and the entertainment industry as well. Sports and entertainment industry are driven by fans and their word of mouth. Engagement with audience is the key and Big Data is creating opportunities for driving this engagement and influencing audience sentiments.
One of the IT Company, worked with a media company and ran its predictive models on the social buzz for the movie Ram Leela. According to the reports, company predicted a 73% success for the movie based on right selection of cities. Such rich analysis of social data was conducted for Barfi and Ek Tha Tiger. All these movies had a runaway success at the box office.
Hollywood uses Big Data big time ! The social media buzz can predict the box office success - more importantly based on the trending of the movie, strategies can be formulated to ensure favorable positioning of the movie. All science !
Netflix is the best case study of analyzing user behavior and hitting the jackpot ! Netflix original show The House Of Cards’ was commissioned solely on the basis of the big data results of the preferences of its customers.
Shah Rukh Khan's Chennai Express, one of the biggest box office grossers on 2013, used Big Data & Analytics solutions to drive social media and digital marketing campaigns. IT Services company helped Chennai Express team with the right strategic inputs. Chennai Express related tweets generated over 1 billion cumulative impressions and the total number of tweets across all hashtags was over 750 thousand over the 90-day campaign period. Thus Shah Rukh Khan and the success of Chennai Express have proved that social media is the channel of the future and that it presents unique opportunities to marketers and brands, at an unbeatable ROI (return on investment)"
Lady Gaga and her team browse through our listening preferences and sequences and optimize the playlist for the maximum impact at live events. Singapore based Big Data Analytics firm has worked with leading Hindi Film industry producers to understand the kind of music to release to create the right buzz for the movie.
Sports is another area where big data is making big impact. FIFA 2014 champion Germany have been using SAP’s Match Insights software. It has made a big difference to the team. Data was crunched relating to player position ‘touch maps’, passing ability, ball retention and even metrics such as ‘aggressive play’. Even Kolkota Knight Riders, an IPL team, to determine the consistency of the players based on 25 data point per ball. It helped in auction as well as ongoing training.
Big Data can definitely be a boon to the entertainment and sports industry. It can improve the profitability of the movies - always a high risk business. The green-lighting of the story to the cast selection to the timing of release can be determined. It can help to pick the right players for the sporting leagues - allowing talent to win !
Entertainment Industry leaders need to collaborate with the leading big data startups and visionaries to create new uses and deliver new success stories !
Business IntelligencePosted by Prashant Mirchandani Thu, July 31, 2014 06:55:12
Over 150 billion email messages are currently being sent every day from about 3.5 billion email accounts worldwide. So, it’s easy to understand why we miss important messages as we struggle to keep up with the surge. For some, the situation has become so bad that email is no longer a reliable way to get in touch with them since they can’t quickly sort out the important stuff. A new research project coming out of Israel looks to solve part of the problem by using big data to boil down email messages to their most important information and summarize them to be digested much more quickly, especially on mobile devices.
The project is mainly focused on using algorithms to summarize blocks of text into their most important elements. From the standpoint of email, this could have two main benefits: (1) Create one-sentence email summaries to be used in preview panes so that users can quickly flip through a list of messages and see the main idea of each email without having to open it. (2) Summarize long emails into 100-200 words that highlight the key points.This is accomplished by using the tools of big data.
Technology TrendPosted by Aakash Wed, June 25, 2014 14:30:13
IBM and Fluid Inc., are embarking on a new mission to transform the way consumers shop, through personalized, digital experiences with a personal shopping concierge that understands and advises its users on key purchase decisions.
As an example, one could ask Watson for advice on what outdoor gear is best-suited for a five-day, June hiking adventure in Phoenix. Fluid XPS would call upon Watson’s understanding of natural language to identify clues from the user’s question suggesting particular needs around weather, terrain and trail conditions.
GeneralPosted by Harshil Parikh Wed, June 25, 2014 14:29:01
order to network two computers together, a few settings need to be
altered in each computer’s network card properties section. Firstly,
each computer has to have a unique name and a similar workgroup name. To
change the names of the computer and workgroup, do the following -
right-click on the ‘My Computer’ icon on the desktop and click on
‘Properties’. Select the ‘Computer Name’ tab (in Windows 7: ‘Advanced
system settings | Computer Name’) and then click on the ‘Change’ button.
Enter a different computer name for each computer and a similar
workgroup name for both. Apply the changes and the system will prompt
you to restart the computer. Choose to restart later. Now open the
network section (For Windows XP: ‘Start | Settings | Network
Connections’, and for Windows 7: ‘Start | Control Panel | Network and
Internet | Network Connections’) and right-click on the Ethernet card,
select ‘Properties’, and double-click on the ‘Internet Protocol TCP/IP’.
Click on the radio button to enable ‘Use the following IP address’ and
enter unique IP addresses along with the Subnet Mask in each computer’s
network card. For example, enter the IP address ‘192.168.0.1’ on one PC
and ‘192.168.0.2’ on the other while keeping the subnet mask common as
‘255.255.255.0’. Keep the DNS and Gateway fields blank. Apply the
settings by clicking on ‘OK’ twice. Your computers are now networked.
Now all you need is to share some folders or drives on each computer in
order to exchange data.
Business IntelligencePosted by Aakash Wed, June 25, 2014 14:27:16
Big data analytics is the process of examining big data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions. With big data analytics, data scientists and others can analyze huge volumes of data that conventional analytics and business intelligence solutions can't touch. Consider this; it's possible that your organization could accumulate (if it hasn't already) billions of rows of data with hundreds of millions of data combinations in multiple data stores and abundant formats. High-performance analytics is necessary to process that much data in order to figure out what's important and what isn't. Enter big data analytics.
Why collect and store terabytes of data if you can't analyze it in full context? Or if you have to wait hours or days to get results? With new advances in computing technology, there's no need to avoid tackling even the most difficult and challenging business problems. For simpler and faster processing of only relevant data, you can use high-performance analytics. Using high-performance data mining, predictive analytics, text mining, forecasting and optimization on big data enables you to continuously drive innovation and make the best possible decisions. In addition, organizations are discovering that the unique properties of machine learning are ideally suited to addressing their fast-paced big data needs in new ways.
Marketing StrategyPosted by Mayur Sat, June 14, 2014 11:52:13
While there has been a lot of talk about how social media is a great way
to generate new leads for a B2C company, there significantly less
attention paid to how social media helps with B2B marketing. This is
unfortunate because social media is a great way for your business to
appeal to other businesses. With that in mind, we have collected a
number of tips that will help your B2B social media marketing strategy
be more effective.
It’s very easy to fall into the mentality that just because you are
interacting with other businesses that you don’t need the same level of
social interaction as with B2C marketing. Remember that it will be
actual people who you connect with in you B2B social media marketing and
that they like to be treated as such.
Know Who You are Talking To
Who in the business are you targeting? Are you looking to appeal to
someone in their marketing division or a human resources director? The
content of your social media channels should be geared toward your
Consider your Outlets
While Facebook may be huge, it is not always the best way to reach
the types of businesses that you want. Consider smaller social media
sites that specialize in your field or subgroups of larger social media
sites like LinkedIn.
Speak a Common Language
If you are an apparel company and your target audience is retail
buyers then you should use the same terms and industry phrases that they
do. This establishes you as knowledgeable and can help you communicate
Business IntelligencePosted by Mayur Thu, May 22, 2014 15:15:18
Advances in technology are leading us to rethink our whole approach
to BI - what data we can manage, how we manage it, and ways to use the
resulting information. In this session we will explore three of the most
important trends in BI: big data, advanced analytics, and cloud
computing technologies - and the implications to your BI and information
You don’t have to be an e-commerce company with petabytes of data to
take advantage of these technologies. If your business or IT
organization, like most, perceives that your data keeps growing, that
your legacy BI platforms struggle to keep up, or that the lack of
information is a business disadvantage, then big data, analytics, and
cloud should be on your radar, regardless of the maturity of your BI
programs. Although widely hyped, advanced analytics, big data and cloud
computing are nonetheless emerging as tools to enable new applications,
with lower barriers to use. As a result, these technologies are driving a
renewed visibility of BI in the minds of business leaders. This session
will share lessons learned by early adopters. It will discuss
applications, architecture alternatives, key challenges encountered, and
the resulting implications for BI strategies and programs aimed at
transforming businesses of all sizes.
You Will Learn
- Why big data, advanced analytics and cloud computing technologies matter
- Architectures for building new business analytic services
- Strategies for moving from passive to active analytics
- Approaches for helping your business stakeholders lead with BI
Cloud SourcingPosted by Mayur Thu, May 22, 2014 09:29:13
- Achieve economies of scale – increase volume output or productivity with fewer people. Your cost per unit, project or product plummets.
- Reduce spending on technology infrastructure.
Maintain easy access to your information with minimal upfront spending.
Pay as you go (weekly, quarterly or yearly), based on demand.
- Globalize your workforce on the cheap. People worldwide can access the cloud, provided they have an Internet connection.
- Streamline processes. Get more work done in less time with less people.
- Reduce capital costs. There’s no need to spend big money on hardware, software or licensing fees.
- Improve accessibility. You have access anytime, anywhere, making your life so much easier!
- Monitor projects more effectively. Stay within budget and ahead of completion cycle times.
- Less personnel training is needed. It takes fewer people to do more work on a cloud, with a minimal learning curve on hardware and software issues.
- Minimize licensing new software. Stretch and grow without the need to buy expensive software licenses or programs.
Technology TrendPosted by Aakash Mon, January 06, 2014 10:08:53
Google Glass is so 2013. The upcoming year will be the year of the tech arm candy. Companies such as Qualcomm, Nike, Google, Microsoft and Apple are developing (or are rumored to be developing) their own unique smartwatch. So how is the smartwatch destined to be more popular than Google’s geeky glassware?
For starters, smartwatches are more discrete. And in 2014, the emerging smartwatches are planned to be sleeker and more fashionable.
According to an article on BGR, “research from Cnalys projects that smartwatches are set to explode by the end of 2014 when vendors will ship more than 5 million units, a 900 percent increase from the number of units Canalys expects vendors to ship this year.” Canalys predicts that newer models will feature more sophisticated software, glanceable information, integration across sensors and refined hardware.
- See more at: http://www.websitemagazine.com/content/blogs/posts/archive/2013/12/13/the-top-6-tech-trends-for-2014.aspx#sthash.AaKgw4Zo.dpuf