Click here to close now.

Welcome!

Java Authors: AppDynamics Blog, Harry Trott, Martin Etmajer, Elizabeth White, VictorOps Blog

Related Topics: Big Data Journal, Java, Wireless, Linux, Cloud Expo, SDN Journal

Big Data Journal: Article

The Non-Analytics Company Is History

The fundamental mechanics of business have changed and the non-data centric company will ultimately be history

The fundamental mechanics of business have changed.

Well, they haven't quite.

The basic laws of supply and demand still govern the economic principles inside which firms in all industries bring goods and services to market inside a common monetary system on an international level.

But a change has occurred and it is an information-driven shift.

Our core accounting systems used to represent the motherlode of all company information. Onward from there... somewhere around the end of the last millennium we added so-called Customer Relationship Management to the corporate information arsenal and started to build up the commercial data bank.

Fast forward into the first decade of the new millennium and we found ourselves deeply entrenched (and enamored with) the world of Enterprise Resource Planning (ERP). In the ERP-enabled world we started to define Key Performance Indicators (KPIs) and use business metrics in a more mathematically sensitive way than ever before.

What makes a truly data-centric firm?
Today we take ERP as a given element of a wider total corporate data stack. The modern firm captures data from accounts, from customers, from business units (in the ERP sense) of course, but that's just the start. A truly data-centric firm also captures information from employees, external competitors, business equipment (in the capital expenditure CapEx and operational expenditure OpEx sense) often with Internet of Things style sensors and more besides.

To clarify our argument one crucial step further, this (above example) is not a truly data-centric firm; this is only a data-aware firm. A truly data-centric firm is also capable of capturing these multi-level information streams and being able to analyze them for operational (and so therefore) commercial advantage.

Future investment brokers won't ask to see profit and loss statements; they will ask "how good is your Big Data information capture and analytics procedure system?" or such like. Okay yes they will ask for P&L too, but you get the point.

This practice of analytics is defining the modern 21st century business. Knowing what customer movements mean is important, but knowing how to analyze what connected ancillary factors will influence customer behavior before it happens is what really makes the difference.

This overall trend for change toward analytics has certain effects. Firms need the same mix of salespeople, IT, finance, admin and other staff; but now they need a defined specialist to serve as a Data Scientist (CAPS intended to denote job title) -- or, at least, they need to be able to outsource the consultancy services needed to supply that analytics intelligence.

Patterns and anomalies
Companies who "get" the analytics challenge are using a variety of tools to surmount and conquer the Big Data challenge. The data scientist (lower case from herein) is using elements such as the Apache Hadoop open source software framework for storage and large-scale processing of data-sets on clusters of commodity hardware. On top of Hadoop the data scientist is using In-Database and Hadoop In-Memory Analytics to start to uncover patterns and anomalies to get new insights and make decisions based on facts discovered.

The data scientist uses Data Vizualization tools to (in theory if he/she does it right) begin to uncover patterns in both internal and external data and start to perceive and act upon the resulting analytics at hand. These same analytics tools can of course be turned inwards so-to-speak and focused on the firm's own operations to uncover trends and perceive and predict actions that could and should be taken to maximize profitability and welfare of employees and customers.

Analytics used at its most effective level becomes a tool for firms to drive their ability to compete and innovate.

Nobody's perfect (with data analytics) yet
This is the pure (as opposed to applied) theory of data analytics where it sits in perfect post-deployment harmony inside a Hadoop (or other) managed Big Data framework. Not all of this theorizing is easy to pull off over night and we know that Hadoop installations are complex by their very nature. But taking the purist pure view is a good exercise to undertake at this comparatively still early stage for cloud, Big Data and analytics (and let's not forget mobile too). We need to discuss what is possible and then see how close we can get to perfect.

In this new world of business is it now fair to table our opening gambit again? Have the fundamental mechanics of business changed? For many real-world businesses today there is now an open admission and acceptance that data is the greatest commercial asset that they have. Not every firm has complete control of its data asset base, but this is precisely why we are having this discussion.

The fundamental mechanics of business have changed and the non-data centric company will ultimately be history. Soon after that, the non-analytics company will also be a distant memory. Senior management is (largely) agreeing with the need to shift resources toward data-driven decision making and wider Line-of-Business strategies are also falling in line.

A mindset for the future
The sophisticated data analysis innovator has fine-grained business control and a stable strategic growth path planned out that is capable of constant and continuous dynamic change. We're not re-inventing the light bulb or the wheel today, but we are re-inventing our core operational business ethos and mindset. Nonbelievers in the data revolution will be historical figures sooner than they think.

This post is brought to you by SAS.

SAS is a leader in business analytics software and services and the largest independent vendor in the business intelligence market.

More Stories By Adrian Bridgwater

Adrian Bridgwater is a freelance journalist and corporate content creation specialist focusing on cross platform software application development as well as all related aspects software engineering, project management and technology as a whole.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


@ThingsExpo Stories
Cloud data governance was previously an avoided function when cloud deployments were relatively small. With the rapid adoption in public cloud – both rogue and sanctioned, it’s not uncommon to find regulated data dumped into public cloud and unprotected. This is why enterprises and cloud providers alike need to embrace a cloud data governance function and map policies, processes and technology controls accordingly. In her session at 15th Cloud Expo, Evelyn de Souza, Data Privacy and Compliance Strategy Leader at Cisco Systems, will focus on how to set up a cloud data governance program and s...
Roberto Medrano, Executive Vice President at SOA Software, had reached 30,000 page views on his home page - http://RobertoMedrano.SYS-CON.com/ - on the SYS-CON family of online magazines, which includes Cloud Computing Journal, Internet of Things Journal, Big Data Journal, and SOA World Magazine. He is a recognized executive in the information technology fields of SOA, internet security, governance, and compliance. He has extensive experience with both start-ups and large companies, having been involved at the beginning of four IT industries: EDA, Open Systems, Computer Security and now SOA.
The industrial software market has treated data with the mentality of “collect everything now, worry about how to use it later.” We now find ourselves buried in data, with the pervasive connectivity of the (Industrial) Internet of Things only piling on more numbers. There’s too much data and not enough information. In his session at @ThingsExpo, Bob Gates, Global Marketing Director, GE’s Intelligent Platforms business, to discuss how realizing the power of IoT, software developers are now focused on understanding how industrial data can create intelligence for industrial operations. Imagine ...
We certainly live in interesting technological times. And no more interesting than the current competing IoT standards for connectivity. Various standards bodies, approaches, and ecosystems are vying for mindshare and positioning for a competitive edge. It is clear that when the dust settles, we will have new protocols, evolved protocols, that will change the way we interact with devices and infrastructure. We will also have evolved web protocols, like HTTP/2, that will be changing the very core of our infrastructures. At the same time, we have old approaches made new again like micro-services...
Every innovation or invention was originally a daydream. You like to imagine a “what-if” scenario. And with all the attention being paid to the so-called Internet of Things (IoT) you don’t have to stretch the imagination too much to see how this may impact commercial and homeowners insurance. We’re beyond the point of accepting this as a leap of faith. The groundwork is laid. Now it’s just a matter of time. We can thank the inventors of smart thermostats for developing a practical business application that everyone can relate to. Gone are the salad days of smart home apps, the early chalkb...
Operational Hadoop and the Lambda Architecture for Streaming Data Apache Hadoop is emerging as a distributed platform for handling large and fast incoming streams of data. Predictive maintenance, supply chain optimization, and Internet-of-Things analysis are examples where Hadoop provides the scalable storage, processing, and analytics platform to gain meaningful insights from granular data that is typically only valuable from a large-scale, aggregate view. One architecture useful for capturing and analyzing streaming data is the Lambda Architecture, representing a model of how to analyze rea...
SYS-CON Events announced today that Vitria Technology, Inc. will exhibit at SYS-CON’s @ThingsExpo, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. Vitria will showcase the company’s new IoT Analytics Platform through live demonstrations at booth #330. Vitria’s IoT Analytics Platform, fully integrated and powered by an operational intelligence engine, enables customers to rapidly build and operationalize advanced analytics to deliver timely business outcomes for use cases across the industrial, enterprise, and consumer segments.
Today’s enterprise is being driven by disruptive competitive and human capital requirements to provide enterprise application access through not only desktops, but also mobile devices. To retrofit existing programs across all these devices using traditional programming methods is very costly and time consuming – often prohibitively so. In his session at @ThingsExpo, Jesse Shiah, CEO, President, and Co-Founder of AgilePoint Inc., discussed how you can create applications that run on all mobile devices as well as laptops and desktops using a visual drag-and-drop application – and eForms-buildi...
Containers and microservices have become topics of intense interest throughout the cloud developer and enterprise IT communities. Accordingly, attendees at the upcoming 16th Cloud Expo at the Javits Center in New York June 9-11 will find fresh new content in a new track called PaaS | Containers & Microservices Containers are not being considered for the first time by the cloud community, but a current era of re-consideration has pushed them to the top of the cloud agenda. With the launch of Docker's initial release in March of 2013, interest was revved up several notches. Then late last...
SYS-CON Events announced today that Dyn, the worldwide leader in Internet Performance, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. Dyn is a cloud-based Internet Performance company. Dyn helps companies monitor, control, and optimize online infrastructure for an exceptional end-user experience. Through a world-class network and unrivaled, objective intelligence into Internet conditions, Dyn ensures traffic gets delivered faster, safer, and more reliably than ever.
In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect at GE, and Ibrahim Gokcen, who leads GE's advanced IoT analytics, focused on the Internet of Things / Industrial Internet and how to make it operational for business end-users. Learn about the challenges posed by machine and sensor data and how to marry it with enterprise data. They also discussed the tips and tricks to provide the Industrial Internet as an end-user consumable service using Big Data Analytics and Industrial Cloud.
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @ThingsExpo, Michael Sick, a Senior Manager and Big Data Architect within Ernst and Young's Financial Servi...
Performance is the intersection of power, agility, control, and choice. If you value performance, and more specifically consistent performance, you need to look beyond simple virtualized compute. Many factors need to be considered to create a truly performant environment. In his General Session at 15th Cloud Expo, Harold Hannon, Sr. Software Architect at SoftLayer, discussed how to take advantage of a multitude of compute options and platform features to make cloud the cornerstone of your online presence.
Even as cloud and managed services grow increasingly central to business strategy and performance, challenges remain. The biggest sticking point for companies seeking to capitalize on the cloud is data security. Keeping data safe is an issue in any computing environment, and it has been a focus since the earliest days of the cloud revolution. Understandably so: a lot can go wrong when you allow valuable information to live outside the firewall. Recent revelations about government snooping, along with a steady stream of well-publicized data breaches, only add to the uncertainty
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @ThingsExpo, Michael Sick, a Senior Manager and Big Data Architect within Ernst and Young's Financial Servi...
PubNub on Monday has announced that it is partnering with IBM to bring its sophisticated real-time data streaming and messaging capabilities to Bluemix, IBM’s cloud development platform. “Today’s app and connected devices require an always-on connection, but building a secure, scalable solution from the ground up is time consuming, resource intensive, and error-prone,” said Todd Greene, CEO of PubNub. “PubNub enables web, mobile and IoT developers building apps on IBM Bluemix to quickly add scalable realtime functionality with minimal effort and cost.”
Docker is an excellent platform for organizations interested in running microservices. It offers portability and consistency between development and production environments, quick provisioning times, and a simple way to isolate services. In his session at DevOps Summit at 16th Cloud Expo, Shannon Williams, co-founder of Rancher Labs, will walk through these and other benefits of using Docker to run microservices, and provide an overview of RancherOS, a minimalist distribution of Linux designed expressly to run Docker. He will also discuss Rancher, an orchestration and service discovery platf...
Sensor-enabled things are becoming more commonplace, precursors to a larger and more complex framework that most consider the ultimate promise of the IoT: things connecting, interacting, sharing, storing, and over time perhaps learning and predicting based on habits, behaviors, location, preferences, purchases and more. In his session at @ThingsExpo, Tom Wesselman, Director of Communications Ecosystem Architecture at Plantronics, will examine the still nascent IoT as it is coalescing, including what it is today, what it might ultimately be, the role of wearable tech, and technology gaps stil...
With several hundred implementations of IoT-enabled solutions in the past 12 months alone, this session will focus on experience over the art of the possible. Many can only imagine the most advanced telematics platform ever deployed, supporting millions of customers, producing tens of thousands events or GBs per trip, and hundreds of TBs per month. With the ability to support a billion sensor events per second, over 30PB of warm data for analytics, and hundreds of PBs for an data analytics archive, in his session at @ThingsExpo, Jim Kaskade, Vice President and General Manager, Big Data & Ana...
CommVault has announced that top industry technology visionaries have joined its leadership team. The addition of leaders from companies such as Oracle, SAP, Microsoft, Cisco, PwC and EMC signals the continuation of CommVault Next, the company's business transformation for sales, go-to-market strategies, pricing and packaging and technology innovation. The company also announced that it had realigned its structure to create business units to more directly match how customers evaluate, deploy, operate, and purchase technology.