The amount of data being collected and stored globally is inconceivable and it grows as we speak. The end result is “big data.” As the term implies, big data is used to denote large sets of structured or unstructured data. However, the large volume isn’t what makes...
Analytics
Recent Articles
Designing the data management infrastructure of tomorrow
Today, more than ever before, organizations realize the strategic importance of data and consider it to be a corporate asset that must be managed and protected just like any other asset. Considering the strategic importance of data, an increasing number of farsighted...
5 types of people you will meet in data analytics
*1 This is more inline with dealing with setting up large-scale data engineering platforms and integrating various technologies together. *2 These data scientists typically build the algorithm and productionize it through the data engineering infrastructure. E.g. They...
Do you know what is powerful real-time analytics?
In the Digital age today, world has become smaller and faster. Global audio & video calls which were available only in corporate offices, are now available to common man on the smartphone. Consumers have more information of the products and comparison than the...
Top 5 best TED talks on data analytics for business leaders
What are you doing right now? If you are trying to know how data analytics can help you grow your business, you are not alone. Research suggest that as much as 55% of companies are rapidly searching for and engaging in some form of data analytics to get a hold of what...
Have we lost faith in big data? It's time to go back to basics?
As Donald Trump prepares to enter the White House, has our reliance on big data been exposed? On the eve of the US election, the Huffington Post presidential forecast gave Hillary Clinton a 98.2 percent chance of winning the race to the White House. The Huffington...
8 big data trends and predictions for 2017
The term Big Data is more than 20 years old, having been coined in 2005 by O’Reilly Media’s Roger Magoulas. What we mean by the term scales larger by the minute, seemingly, since more than 80% of all available data has been generated in the last three years as Big...
Top 6 tools to master and get started with Big Data
The market is flooded with a number of Big Data tools. All of them claim to provide real business value by bringing cost efficiency, better time management, and analyzing data to discover valuable business insights. But there are only a select few that actually do...
Top 10 tools for working with big data for successful analytics developers
The importance of data in today’s business is difficult to overstate because no meaningful decision can be made without the analysis of relevant data. The data analysis not only drives the decision making but also takes an active part in developing strategies and...
All about big data analytics tools: How to measure your goals
What’s important to your business may not be exactly the same as what’s important to another business—even another one that’s a competitor. Every business leader tracks different items and elements in order to get feedback and guidance for future decisions. But what...
Using data science for predictive maintenance
Remember a few years ago there were two recall announcements from the National Highway Traffic Safety Administration for GM & Tesla – both related to problems that could cause fires. These caused tons of money to resolve. Aerospace, Rail industry, Equipment...
What is edge computing?
The name edge computing signifies the corner or edge in a network diagram at which traffic enters or exits the network. Edge computing pushes computing power to the edges of a network, so instead of devices like drones or smart traffic lights needing to call home for...
Mobile enablement in digital age
Gone are the days when we used to carry big fat wallet filled with cash, coins, multiple credit cards, business cards, travel tickets, movie tickets, personal notes, papers with names, numbers and the list can go on. Mobile technologies have transformed the way we...
Applications of Predictive Analytics in various industries
They say that those who do not study history are doomed to repeat it. In no form of big data analysis is this phrase more relevant than in 'predictive analytics'. In simple terms, predictive analytics is the systematic use of data, machine learning techniques and a...
The IOT Continuum – How do you see it?
Over the past months, I have read a great deal about the Internet of Things (IoT) and how companies are moving forward with it. Looking across all the stories on the web it is clear that there is an IoT Continuum when you look at the different types of projects out...
Six challenges of big data project management
Project management always comes with a set of various challenges. In the past couple of years, as businesses have significantly grown, project management has become even more complicated. On the other side of things, a variety of software solutions were created for...
Will big data open a Pandora’s Box of injustice?
Databases. They are not just confined to big business. Remember that rogue traffic warden, who gave you a parking ticket thirty seconds before your time was up? Remember that customer service agent, who was rude and unhelpful to you over the phone? Remember that...
What is the role of Fog Computing in the IOT reference model
As if the Internet of Things (IoT) was not complicated enough, the Marketing team at Cisco introduced its Fog Computing vision in January 2014, also known as Edge Computing for other more purist vendors. Given Cisco´s frantic activity in their Internet of Everything...
Data Integration is key to shedding light on the customer journey
By now you are probably aware that the customer journey is fractured among any number of channels and devices. Multi-device and multi-channel journeys take twists and turn as consumers move from one channel to the next and back again, and may start off on one device...
The future of “The Internet of Olympic Games”
Forgive me for using this headline to attract more readers during the summer holidays. Certainly, I will include a comment in my famous post The abuse of shocking headlines in IoT or how many stupid things will be connected ?. I encourage you to continue reading. The...
Digital Transformation – Top 5 challenges to overcome
The Digital Tsunami is moving at a rapid pace, encompassing all aspects of business and society. It touches every function of business from purchasing, finance, human resources, operations, IT and technology, sales and marketing and every other division in the...
Is data quality essential for modern business?
If you wanted to program a computer in the early 1980s, you didn’t have the option of coding using a keyboard. You had to create a series of cards, each punched with a pattern of holes. The holes had to be entirely accurate, in both pattern and placement. A typical...
Does big data have a dark side?
Big Data is seen as a savior for small companies, massive corporations, and governments. However, drawing from massive datasets to obtain a better understanding of human behavior does have a potential dark side. Technology is only as good as the people using it....
How to become a data driven business
Data is everywhere. All businesses have access to it. Yet, turning data into actionable insights and becoming a data-driven business can be difficult to achieve. What does data-driven mean? A data-driven business utilizes data to inform every business decision they...
SAP HANA for real-time analytics [Research paper]
There is no doubt that data analytics is the most favored method for extracting viable and venerable insights out of data volumes. There are a continuous accumulation and storage of poly-structured data due to the unprecedented increase in different and distributed...
A poem on Crayon's Data Factory
For years, big data has been one of the hottest buzzwords across all industries. Big data is the term used to describe the process of analyzing complex data sets to discover information that can help make better decisions or find certain patterns that were previously...
Top 10 reasons why you should learn data analytics
They say we are living in the age of information. The internet has made it easy for anyone to gather whatever information they need to achieve whatever end they desire. Did you know that you could even learn how to build your own car online? Did you know that you...
How to use DMS to manage your business data
Data management is one of the most important tasks for any modern business. Businesses need to analyze and inspect the data to find out the consumer demands and the best ways to meet these. Managing the huge amount of data requires a specialized solution. And Document...
How to build better data products: Getting started
This is the first in a multi-part series on launching successful data products. At Juice, we’ve helped our clients launch dozens of data products that generate new revenue streams, differentiate their solutions in the market and build stronger customer relationships....
Can business automation solve your data quality problems?
All businesses are at the mercy of data quality challenges. From the moment you capture your first lead, you’ll be fighting a battle against data decay. The bigger the database gets, the more problems the business can encounter, and it isn’t easy to single out a...
Your data gets better by change – not by chance
Up to 96 percent of customer contact data is partially inaccurate, according to the Sales and Marketing Institute and D&B. This is a shocking statistic. If you run a business, this figure alone should have you leaping from your seat in panic. Can your data really be...
The data quality tipping point
Whatever your business sector, data is your most valuable asset. Along with the machinery and stock you hold, data and insights hold the key to profit and growth. But it has the unique ability to unite every department, and every function. It can reveal problems in...
Big data and the entreprise – A new normal for enterprise architecture
The rise of big data systems is primarily driven by web-based application paradigms for the B2C market. The growth of B2B solutions delivered through web-based application models is driving a few shifts in enterprise architecture. It is as much about the convergence...
The road to revenue is paved with good data – 99% of marketers agree
“Every day, three times per second, we produce the equivalent of the amount of data that the Library of Congress has in its entire print collection, right? But most of it is like cat videos on YouTube or 13-year-olds exchanging text messages about the next Twilight...
All about data lakes – Data Lake or Data Warehouse? [Infographic]
There has been raging debate over Data lakes and data warehouses and if one will replace the other! Data warehouses have been around for a long time, serving the requirements of enterprises big and small. The challenge with data warehouses is the fact that the most...
How to write data analysis reports. Lesson 1—Know Your Content.
In every data analysis, putting the analysis and the results into a comprehensible report is the final, and for some, the biggest hurdle. The goal of a technical report is to communicate information. However, the technical information is difficult to understand...
Top 10 data science and big data experts to follow on Twitter
Twitter is a great source of information, and lets you quickly scan your feed and engage with content that intrigues you. Even though this eliminates a lot of unnecessary noise, you need to follow the right people, if you are on a constant lookout for great...
Myths and facts surrounding big data – Infographic
Big Data holds great promise for enterprises of all sizes. It can bring insights that help the business drive revenue and also understand gaps in service and products. However, as with any other technology, big data also has its shares of myths. Through this...
6 ways big data analytics can drive smarter customer service [Infographic]
Big data analytics finds immense application across the entire business. One area which can have direct, measurable and visible impact is the area of customer service. Data has been used since time immemorial to improve customer service, but it is only recently that...
Unbundling design for innovation in big data
Visual design in big data systems has undergone a significant transformation in recent years. It is mainly driven by the emergence of tactile interfaces in UI and the trends in information systems design architecture. The rise of mobile-first designs helped fuse these...
How a Chief Data Officer can make your data great
Fresh data is usually pristine. It’s data in it’s clearest, most accurate form – straight from the customer or client. If you’ve put measures in place to cut back on data input errors, such as form validation, you can be reasonably sure that the newest records in your...
The five myths and truths about big data – Let's face it!
While socializing with my partner (something that will abruptly stop for a while after the imminent birth of my second child), when I tell people that I recruit for Big Data & Data Science professionals, their reactions vary from a vacant, glazed look in their...
Which big data personality are you? [Infographic]
According to Google Trends, in 2011, when the hype of big data had just begun. In 2015, the hype still exists, but big data has evolved beyond the hype! Companies are using big data to generate profits and receive insights about their consumers. Even companies in...
Universities that offer courses in Data Science, Analytics, Business Intelligence, Data Mining, Predictive Analytics and Machine Learning
This is a list of some of the universities that offer courses in Data Science, Analytics, Business Intelligence, Data Mining, Predictive Analytics, and Machine Learning. 1. Arizona State University MS in Business Analytics The Masters in Business Analytics is...
Interview with UN expert Pulak Ghosh: A big picture of big data in India
Dr. Pulak Ghosh, Professor of Quantitative Methods at the Indian Institute of Management Bangalore (IIMB), is a member of the UN Secretary-General's Big Data Privacy Advisory Group. He recently won the National Biennial award 2015 for his outstanding contribution to...
Can businesses profit from data quality?
We often refer to business data as an asset. Data is essential for every function in an organization, so it’s easy to see why it’s so valuable and vital. On our blog, we’ve discussed ways that clean data can make an organization more efficient and profitable. And we...
(Big) Data in Data Lake vs. Data Warehouse – Interesting things to consider
Big data is used across verticals like Insurance, Healthcare, Manufacturing, Financial, Retail and more. Companies are using big data to improve top & bottom line revenue with business values. In this data-driven era, enterprise readiness and data management needs...
Statistics Denial Myths #5-6, Mischaracterizing Statistical Significance
This is the ninth instalment in the series of essays on Statistics Denial by Randy Bartlett, Ph.D. To read other articles in the series, click here. Myth #5: For a large number of observations (Big Data: Volume), all the variables are significant so statistics does...
Two powerful concepts that define today’s new consumer
Today, there’s a lot of buzz around a few words. Data: the big, the small, the relevant. Social media, contextual marketing, going viral, and influencers. Digital advertising, mobile first, e-commerce. Everyone splashes around in the shallow end of tech trends. They...
Interview With Digital Analytics Association Chairman – Jim Sterne
1) Tell me a little about yourself and how you got involved in digital analytics industry? When I first tripped over the Internet in 1993, nobody could tell me what made a website good, better or best. I spoke with everyone I could find that had something to do with...