Welcome!

Cloud Security Authors: Zakia Bouachraoui, Pat Romanski, Elizabeth White, Yeshim Deniz, Liz McMillan

Related Topics: @DXWorldExpo, Agile Computing, Cloud Security

@DXWorldExpo: Article

Demystifying Self-Service Data By @MMoscovic | @BigDataExpo #BigData

Traditional BI is better than no BI, but business happens outside the C-suite,

Demystifying Self-Service Data and the Future of Business Intelligence

Based on a concept of centralized data analysts, traditional BI creates a system where IT specialists create deep-dive reports, typically for C-suite executives because analysts' time is too valuable to spread any thinner.

Imagine that you wanted to see a review of the latest weekend blockbuster, but you couldn't just Google its Rotten Tomatoes score. Instead, you had to submit a written request to an information technology department, wait five days, then sift through a binder-sized report that breaks down the reviews by publication type, readership size, and reviewer age.

As fascinating as that information might be, it took five days too long - you went to the movie days ago on a hunch it would be good.

Welcome to the world of traditional business information.

But just like the nature of data itself, that world is quickly changing.

A Flawed Formula
Based on a concept of centralized data analysts, traditional BI creates a system where IT specialists create deep-dive reports, typically for C-suite executives because analysts' time is too valuable to spread any thinner.

Traditional BI is better than no BI, but business happens outside the C-suite, too, and traditional BI can't hope to meet the breadth and volume of data demands from every business user or keep pace with the competitive data landscape. The "time to insight" is just too slow. Users can't afford to send requests and wait days or weeks for a report that could already be outdated. To get the most out of the data your company collects, relevant data points need to be available to all business users when they need it.

From Delivered Data to Self-Delivery
The next phase of modern BI involves distributing the power of data analysis throughout an organization. By pulling real-time data from all sources - the data warehouse, weblogs, social media, and factory sensors - into user-friendly dashboards, users can access information at the speed of business. This business discovery is at the core of being a data-driven business at all points of the production, delivery, and service cycles as well as in marketing, advertising, and other front-office functions.

However, self-service BI still requires all business users to be analysts, and even with access to the right data, they don't have time to monitor dashboards and analyze data every day.

Users need to be told when significant events are happening in the data that require their attention. Automatically uncovering anomalies in the data, pairing those results with the correct context, and pushing it to the user via the appropriate device will mean BI finally becomes a valuable, scalable business tool all the way down the line. Not only that, but according to a 2014 report by Logi Analytics, 88 percent of business users want to accomplish tasks on their own time, and 83 percent want their organizations to be more data-driven, meaning team members want to engage with data.

The implications for business are broad. This type of platform can alert programmers to a drop in user reviews for a newly updated mobile app or let them analyze time spent in the app to inform subsequent improvements. It can show marketers the effectiveness of the latest email campaign on individual target markets. Hotel managers can be notified of demand spikes. Wherever the application, it takes the guesswork out of business and reveals opportunities to improve that would otherwise remain hidden.

Breaking Free From Traditional BI Shackles
By freeing data from the IT silo and putting it in the hands of everyone, you can shed administrative layers and produce results much faster. Tasks that could take months, even a year, in a traditional system can now be performed in a matter of days or hours with a self-service setup.

Departments also no longer need to compete for limited resources. Because users can interact with data daily or as needed, self-service becomes more flexible - you get much more timely, relevant, and actionable data than if you submitted a request and waited for the information.

But to maximize ROI, you have to get users on board. The "center of gravity" for BI is moving to the business side of the enterprise. And for large teams with access to extensive data sets, the benefits of engaging every business user are especially pronounced. But to engage the non-analysts among us, users need to be told what's happening in the data that's impacting their roles.

Think of it as a "democratization" layer to traditional BI - the layer that makes the whole organization smarter, faster, and more profitable. And once that data is democratized, the entire company benefits.

More Stories By Marius Moscovici

Marius Moscovici is the founder and CEO of Metric Insights (http://www.metricinsights.com/). He founded the company in 2010 with the goal of transforming the way business intelligence is performed so that organizations of any size can quickly and easily deploy powerful analytics. Marius has over 20 years of experience in analytics and data warehousing and was previously the co-founder and CEO of Integral Results, a leading business intelligence consulting company that was acquired by Idea Integration. Marius also formed and led the data warehousing and real-time analytics group at Linden Lab, the creators of Second Life.

IoT & Smart Cities Stories
Nicolas Fierro is CEO of MIMIR Blockchain Solutions. He is a programmer, technologist, and operations dev who has worked with Ethereum and blockchain since 2014. His knowledge in blockchain dates to when he performed dev ops services to the Ethereum Foundation as one the privileged few developers to work with the original core team in Switzerland.
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the technology world. No disruptive technology is without its challenges and potential impediments t...
If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...