Business intelligence (BI) has great potential in transforming the raw data into meaningful and useful information for businesses to identify, develop and create new strategic business opportunities. But, the right use technology plays a critical role in the success...
Month: August 2014
Recent Articles
5 red flags that signal your business is not ready for Big Data yet
Big data has become the big thing recently and seems to be all anyone is talking about (besides it being the year of mobile, of course). By "big data," we mean a concentrated effort to gather intelligence about your business so you can accomplish a deeper analysis....
5 questions all marketers should ask their Big Data
We hear this often: big data means big headaches for marketers due to the overwhelming volumes of information that are hard to sort through to find the right data that is then actionable. In many organizations, only a data scientist or analyst can make sense of this...
Global hadoop market is expected to reach $13.95 billion by 2017
According to a new market research report, Global Hadoop Market - Industry Analysis, Size, Share, Growth, Trends, and Forecast 2012 - 2018, published by MarketsandMarkets, the total Hadoop market, which had an estimated value worth USD 1.5 billion in 2012, is expected...
Top three reasons Indian companies adopt Big Data technologies
A survey conducted by Qlik among 350 executives based in Mumbai and New Delhi found that while only 21% of respondents say they have implemented Big Data technologies, 42% said they plan to invest in Big Data technologies in the next 12 months. The survey also found...
What’s your definition of ‘digital’ in banking?
A recent post by Jin Zwicky, VP of Experience Design at OCBC Bank, on the Next Bank Facebook forum asked, “What’s your definition of ‘digital’ in banking?” It has attracted more than 100 comments from the world’s top banking innovators, sharing their thoughts on the...
Mindshare partners with Crayon Data to boost its planning
Mindshare, the flagship media agency of GroupM, has forged a partnership with big data company, Crayon Data to power its planning, insights and consultancy offering. The partnership will help in rolling out adaptive solutions for marketers, providing the ability to...
Big Data – An ultimate weapon in the field of sports?
Sports has always been associated with tons of statistics about players, teams, and performances, and this information has been used to a limited extent in the past to improve games. Today, the picture is completely different thanks to big data, the technology that...
8 important things to remember while mining data
1. Having a clearly-defined and measurable objective for a project in mind Data mining is often a difficult and time consuming task. Hence, not having a clear idea how to mine the data will severely affect the project’s focus. So having a clear idea of what, how and...
8 critical things to remember in Data Mining
Data mining is the process of sorting through large data sets to uncover hidden patterns and relationships in data which can be used to make predictions that can impact businesses. The benefits of data mining vary depending on the goal and the industry. Companies in...
Applying Big Data using Predictive Analytics: Do’s and Don’ts
A recent survey by SAS, the provider of business analytics and business intelligence software, shows the number one reason organizations are not planning on implementing Big Data is their lack of understanding of how Big Data applies to their business. The solution is...
How Big Data helps us in the fight against crime: Beyond ‘Minority Report’
In today's complex world, criminals are everywhere. There is a greater responsibility on law enforcement authorities than ever before to apprehend criminals even before they commit crimes. This idea of arresting people before they commit a crime was first featured in...
How Big Data helps us in the fight against crime: Beyond ‘Minority Report’
In today's complex world, criminals are everywhere. There is a greater responsibility on law enforcement authorities than ever before to apprehend criminals even before they commit crimes. This idea of arresting people before they commit a crime was first featured in...
How Big Data helps us in the fight against crime: Beyond 'Minority Report'
In today's complex world, criminals are everywhere. There is a greater responsibility on law enforcement authorities than ever before to apprehend criminals even before they commit crimes. This idea of arresting people before they commit a crime was first featured in...
Biggest big data security breaches since 2010
All businesses and organizations have legal and ethical responsibilities to safeguard their confidential data as well as their customers’ personal information, but data breaches happen all the time! According to the Online Trust Alliance's (OTA) 2014 Data Protection...
Digital transformation in Banking starts with consumer needs
The confluence of the financial crisis of 2008 and the rapid adoption of technology that puts increasing power in the hands of every consumer has resulted in higher demands being placed on financial providers. Today’s consumer expects their bank and credit union to...
Hadoop Glossary: 20 most important terms
This is a list of most important Hadoop terms you need to know and understand, before going into the Hadoop eco-system. [To read about top 10 most popular myths about Hadoop, click here.] Most important Hadoop terms Apache or Apache Software Foundation (ASF): A...
Most influential research papers every data scientist should read!
This is a list of some of the most influential papers in the history of Data Science. We’ve compiled these papers based on recommendations by big data enthusiasts in various social media channels. In case, we've missed out any important paper, let us know. The...
Predictive Modelling: Popular open source and commercial tools
Predictive modeling is a process of creating a statistical model to predict future behavior. It is more of the area in data mining forecasting probabilities and trends. A predictive model is made up of predictors which are factors that influence future results. For...
How to monitor migration trends using Big Data?
Monitoring migrations is not an easy task. While in today’s economy, survey data about economic confidence or public opinion are collected on a daily basis, that is not the case for migration statistics, which come from Censuses, population registers, and,...
How to solve California’s wildfire Epidemic? Just wire up all trees with Big Data!
California is currently in the grips of a major drought, one of the worst of this generation. The region's lack of precipitation has not only hindered California's agricultural industry, it's also turned our forests into tinder. But researchers at the University of...
Top 10 best free Cloud Storage services for personal use
Are you looking top Cloud Storage services to store your videos, music, movies, photos and files and access them from anywhere on the go through internet? Here is our list of top 10 Cloud Storage services where you can keep your data safe and avoid the risk of a...
How much data do you need to invest in a Data Warehouse?
As companies collect more data and leave it stored in their source locations, whether it’s a CRM, ERP, or POS, they may reach a point where they want to consolidate all that data into a single, consistently structured location. The question, then, is at what point is...
Big Data in Life Science – Turning challenges into opportunities!
We live in an era of digital revolution. The result? Big Data. Typically, the word 'Big Data' refers to data sets so large and complex that they are difficult to process using traditional applications, it has the potential to impact almost everything around us....