How tapping big data is key to improving organizational performance

Many companies are going overboard by investing huge amounts of money into data mining. Not many are, however, sure of how much their return on investments (ROIs) will be.

It is the opinion of some critics that big data’s disproportionate hype makes many people expect it to offer more returns that it is capable of.

Translating insights gleaned from big data analytics into a competitive advantage needs companies to change according to the information they have sourced.

Some retailers discovered that if they had to carry out a change according to the insights, they would have needed to completely overhaul their supply chain, which they could not.

The main reason is the inability to make use of the information they already possess. This is because they lack the knowledge of managing it efficiently, are  unable to evaluate it in a manner that will help them comprehend it better, and lack of ability to implement changes according to the new information procured. Investing in sophisticated analytics techniques will not solve their problems as the companies lack the knowhow.

A study by Tech America reveals that only15% of the data now is structured. The challenge, therefore, is to unlock the rest which is unstructured.

Firstly, they need to invest time in learning how they can make use of the information they already have. The company needs to be able to leverage data and analyze it to help improve the operating judgment of its thought leaders before it can go ahead.

In the digital age, gathering information, analyzing it, and applying the same to cater better to customers is the key. Some companies are able to scale up their business by analyzing how their data can affect their decision making on a daily basis. Most companies are not able to follow suit. The reason might be that their management methods have not been tuned to the technology domains they operate in.

Some organizations are yet to reap benefits of the ERP and other data systems they had adopted over a decade back. This is because making decisions made on information available needs organizations to radically change their culture. Work procedures need to be revisited, old data must be wiped off, and business practices must be changed to suit the new atmosphere. For instance, they can make the data available to everybody in the organization, leading to collaborative processes in decision-making.

Some companies, who have been able to take this difficult path of incorporating a cultural shift in working, have taken care to see that all their thought leaders have information about their firm’s performance on hand on a daily basis. These persons give the operations teams information at all layers in close to real time. They also implement changes accordingly and they provide in-house training to employees on how to adapt to this new environment.

In addition, when service providers provide solutions online, they understand how their customers are using their products. By doing so, the enterprises can implement better ideas on how to serve their customers better in the future and how to improve their software.

It is also important to leverage technology via cloud-based solutions as it gives enterprises an opportunity to use data analytics solutions, which helps them make sense of the huge data they possess.

It always helps to hire applied mathematicians, who understand the nuances of data and can convey it meaningfully to the staff of companies, who then are able to make use of it profitably.

Finally, all these, however, need checks and balances in the form of brainstorming within the organization and intelligent monitoring thereafter.

Read More

Managing Big data with Hadoop Data Platform
Big Data Classification For A Wiser IT Investments
Consolidation of Big data and IoT Enhance Operational Efficiencies?

Google SEO News- Algorithms & Latest Updates

Ravi Namboori a Network Architect & Cisco Evangelist presented a video on famous Google Ranking Algorithms.

What are Google Ranking Algorithms?

Hey SEO’s here we have listed main Algorithms that have had the biggest impact on search.

Google’s Biggest Ranking Algorithms:

  • Panda Update
  • Penguin Update
  • Hummingbird
  • Pigeon Update
  • Payday Update
  • Pirate Update
  • Mobile Friendly Update
  • RankBrain Algorithm

For more Ravi Namboori’s articles & presentations on technical topics like Cloud Computing, BYOD, Bigdata, IoT, Networking, Hadoop etc follow his blog.


What features need to be consider when selecting BI analytics tool?

Business data analytics is one among the most discussed technology topics in the recent years, global enterprises are gaining deeper insights in to market dynamics by analyzing the customer preferences data that is collected from various sources, says Ravi Namboori, Director of Architecture at Equinix.

Enterprises have been collecting massive volumes of customer data to understand constantly changing customer preferences and interests. The real challenge lies in analyzing such huge amount of data to gain deeper insights and derive workable business strategies.

Companies need to select right business intelligence analytics tool as it significantly influences the success of their BI project. The process of selecting right tool includes collecting and prioritizing enterprise BI requirements and tool categories.

Though industry analyst reviews give good introduction to BI products, it is necessary that enterprises select the right BI analytics tool with required features and functions to fit best to organizational requirements rather than just opting for a product that has most features. Following the necessary features that BI product should provide to enable users to gain competence and edge in analyzing the business data.

Data Sources

It is necessary that BI tool has a feature to access various databases and different file types which includes XML, text and excel which is readily provided in all BI products. Most of the BI analytics tools available in the market today provides access to specific applications such as NoSQL databases and Salesforce.

Data filters and drill-down

BI analytics product should allow users to drill deeper in to detailed data and drill-up in both tabular reports and visualization. Data filtering feature that includes slicers, pull-down lists and search filters should be provided to enable enterprises filter the data as per requirements.

Web-based client user interface

Client user interface of the BI product should be web-based, this has become best practice in industry today as it enables user to utilize resources effectively at low costs. It is relatively helpful in administration, support and deployment when compared to other typical desktop based interfaces. Tool will be right fit if it has a feature that provides web based BI administrator and creator.


BI analytics product should have well defined user and role based security to designate user for creating, modifying, publishing and managing the BI applications. User should be able to integrate BI products with existing security applications and operation system.


Enterprises need to opt for BI product that provides line, bar, pie, area and radar chart types, it also should give capability to user to blend and match various combinations.

Read more:

Ravi Namboori – Does security breaches driving enterprises towards cloud?

Data security and privacy concerns are still prominent when it comes to cloud adoptions. Despite of overwhelming acceptance in widely varied business sectors, some organizations are still reluctant to opt cloud due to security concerns, says Ravi Namboori Director of Architecture at Equinix.

But when it comes to reality, larger organizations who spent huge on in-house datacenter infrastructure also have experienced major security breaches in the recent years. This emphasizes that enterprises need to gain real insights in to root cause of the failure, rather than pointing it to cloud always.

Security threats have always existed to some extent irrespective of data storage whether it is on-premise datacenter or third party cloud server.

Tim Jennings, Research Analyst, Ovum says that there is significant maturity of the cloud environment in the recent years. As the security breaches are not completely avoidable, what matters most is how organizations react when security breach occur.

Majority of the global technology managers and chief security officers states that security breaches are not completely avoidable. There is probability of getting their customer data in to nefarious hands causing reputational damage, if proper security measures are not implemented, says Ravi Namboori a datacenter expert.

Even for larger organizations, it is not always possible to achieve high data security, despite of spending hugely on advanced tools and processes that are equipped in on-premise datacenter.

Today cloud is no more a budding technology, but it is more accomplished and the modern cloud providers are enormously investing in infrastructure and processes that ensures end-to-end data security, physical datacenter security and advanced data encryption. Sophisticated security intelligence and advanced automated patching capabilities are taking the cloud to the next level.

Recent advancements in cloud technologies and enhanced security measures taking by global cloud providers are driving majority of the medium and larger businesses towards adopting cloud.

Industry experts states that enterprises can achieve enhanced security to their data by relying on third party expertise rather than depending on in-house resources.

Moving on to cloud doesn’t mean that taking the data on to public cloud, enterprises can store their data on virtual private cloud or in on-premise datacenter and opt for a reliable thirty party service provider that provides efficient management and security capabilities.

Though the responsibility of customer data and security aspects are getting out of enterprise hands, control and governance capabilities are always retained by the organizations. Recent innovations of cloud industry has further strengthened cloud in terms of security, efficiency and intelligence, adds Ravi Namboori an IT evangelist.

Ravi Namboori – How hybrid transforms cloud market with decentralization?

Ravi Namboori – How hybrid transforms cloud market with decentralization?

Today cloud computing is emerging at rapid pace in the global markets and bringing massive technology transformations in IT sector, says Ravi Namboori, Director of Architecture at Equinix.

Cloud services are efficiently streamlining the business critical processes for global organizations and reducing the operational expenses. Majority of the in-line business managers are getting inclined towards cloud mechanisms for storing and computing their business data as it gives them an edge over traditional IT corporate systems.

Majority of the cloud aspirants and prospective cloud customers mainly focus on the business benefits that cloud brings in return to their investments, but they should also realize that cloud creates centralized control where in the security concerns get substantial. Firms planning to go for cloud thinks that they get rid of computing specificity, location and risk factors, but the reality is that they are taking their sensitive data in to centralized control which is more vulnerable to the security threats, Ravi Namboori adds.

Today many of the larger companies that plans to go for cloud are mainly considering two important aspects such as they will not shut down their entire IT department and replace with cloud as there will be some practical implications involved. The other consideration is that they are completely aware of risks associated when they depend completely on a single vendor for all organization’s computing needs.

Cloud has range of flavors that are offered to global customers based on their specific requirements and processes. Broadly cloud is offered in three flavors which includes private, public and hybrid cloud models.

Hybrid cloud is the most preferred cloud model for many global business managers as it enables the users to leverage best benefits by combining both private and public clouds.

Cloud hybridization is process of combining the private and public clouds that allows users to store their non-confidential business data on public cloud and sensitive confidential information in private in-house data centers. With this decentralized computing model the data security is ensured and risk is reduced, says Ravi Namboori a data center expert.

Open hybrid cloud model enables the users to possess more controls on their data stored on cloud, unlike the tradition cloud models that has supplier lock on customer’s data.

Hybrid’s multi-cloud capabilities have brought technical layers such as cloud management platforms and enterprise platform-as-service models in to the computing scenario.

Industry experts says that multi cloud capabilities makes cloud services much more closer to the cloud aspirants and massively increase cloud adoptions in the coming years.

Multi-cloud capabilities brings much more decentralized computing methodologies that utilizes the resources from on-premise infrastructure, public clouds and local infrastructure providers turning whole set-up in to an efficient logical cloud, says Ravi Namboori a Cisco Evangelist.

Ravi Namboori – Does Rapid Digital Transformation Needs Software Defined Networking?

With rapid pace of digitalization across globe, businesses are under continuous pressure of evolving constantly and driving innovation in to their business critical processes. It is inevitable to global businesses to become more agile to compete effectively in the global market places, says Ravi Varma Namboori, Director of Architecture at Equinix.

Making businesses more agile can be achieved with recent technological innovations which includes big data, mobile and cloud technologies. Enterprises that plans to leverage these digital services should also consider the network infrastructure requirements.

Enterprises can reap best benefits from the digital services only when they optimize the network infrastructure utilization, failing to exploit best from network infrastructure results in ineffective technology investments and the benefits will be significantly less, adds Ravi Varma Namboori a datacenter expert.

Digital services require network infrastructure that scale with rapid increase in network traffic and constantly changing traffic patterns in real-time. Traditional networks are not capable to enough to keep in sync with changing network usage and traffic patterns.

Rapid digital transformation needs network infrastructure that delivers scalability, agility and elasticity. In order to fulfill the changing business demands, enterprises need to shift from traditional physical infrastructure to software defined networking a virtualized infrastructure that fulfills the modern business needs.

Control and intelligence are combined in virtualized infrastructure unlike distributed in physical network infrastructure. Enterprises today are gradually stepping towards virtualizing network elements which includes router, server and firewall to gain enhanced efficiency.

SDN reduces the network complexity and drives innovation by segregating data from control plane of the network function and centralized control. It brings down the investment capital for equipment, power expenses and required scalability, adds Ravi Varma Namboori a Cisco evangelist.

Businesses that have networks with highly varying IT loads can be benefitted by opting SDN as it allows users to run multiple versions of network function on a single platform.

Despite of overwhelming response from its current users, few enterprises are still rigorously evaluating the value addition that SDN brings to their huge initial capital investment.

Nevertheless, majority of the telecom companies are switching to SDN that enables new services and capability to easily predict new revenue channels. Retail sector is keenly evaluating the ROI that SDN brings as it empowers them to scale their ecommerce operations as per seasonal peaks and non-peaks times with which they can eliminate the network resource wastage and significantly save operational expenses.

Consolidation of Big data and IoT Enhance Operational Efficiencies?

Internet-of-Things (IoT) is the outcome of recent digital revolution and global enterprises today are keenly looking to bring in and transform the way they run their businesses, says Ravi Namboori, Director of Architecture at Equinix.

Sensors are easily available at economical prices today and can be embedded in to almost any kind of devices resulted in driving more number of enterprises towards using sensors to the larger extent in various applications areas. These sensors collect the customer interest/feedback data from retail outlet or equipment performance data from remote industrial site which can be stored in big data databases in on-premise datacenter or in cloud environment.

Gartner expects that there will be 6.4 billion devices connected to internet by 2016 which is 30% more than the current figure in 2015.

Rapidly growing IoT prominence is grabbing the attention of many global business owners and more enterprises regardless of industry sector are embracing IoT to and add significant business value.

With IoT playing crucial role in business critical operations, companies experience reduced operating costs and revenue growth associated with better understanding of customer preferences and market dynamics.

Growing number of IoT devices in different fields of work leading to huge amount of data deluging in to existing data storages or a cloud environment. With large amount of data flooding from numerous sources, companies are facing practical challenges in managing and analyzing such huge data sets that comes in different formats, adds Ravi Varma Namboori a datacenter expert.

Despite of having various approaches to effective data management which includes data integration and enterprise data models, enterprises are still struggling hard with these traditional data management practices that are cumbersome and expensive.

Experts’ states that data collection and distribution practices need to be significantly re-engineered to reap maximum benefits from the huge data volumes transferred by IoT devices.

Consolidation of IoT and Big data analytics significantly enhances the operational efficiencies which in turn drives innovation in to business and provides new revenue streamlines. When it comes to IoT and big data analytics in manufacturing sector, companies can save up to 12% on scheduled repairs with help of predictive maintenance.

Effective big data analytics helps enterprises to gain deeper insight in to the buying behavior of the customer that brings huge business benefits which includes significant savings on operational expenses and overall business growth.

Businesses can leverage best by big data analytics and derive workable business strategies that gives competitive advantage to their products and services in global market places.

What factors to be considered while selecting a cloud service provider?

What factors to be considered while selecting a cloud service provider?

Cloud adoptions have grown massively in the last few years, more and more enterprises today are opting for cloud services to support their huge volumes of data storage and get themselves released from high intensive computing workloads, says Ravi Varma Namboori, Director of Architecture at Equinix.

Cloud services business has gained rapid momentum and major cloud service vendors includes Amazon, Microsoft, IBM and Google are revolutionizing the cloud technology market in the recent years.

Enterprises that are planning to adopt cloud for their storage and computing workloads need to consider key things before deciding upon their cloud architecture.

Most of the cloud using enterprises organizations from US and European regions prefer to outsource their data storage and heavy computing workloads to third party service provider. Due to the security concerns they retain the sensitive data and various business critical applications in their own on-premise data centers, adds Ravi Varma Namboori a data center expert.

Andreas Olah, Senior research analysis, servers and big data at IDC states that enterprises need to know where exactly cloud service provider data center is located, as it is necessary that sensitive data need to remain within in the country or region for compliance reasons.

Companies prefer to ensure that their sensitive data remain within boundaries not only for compliance, but also for marketing reasons and their personal reasons.

Today cloud is no more a new technology, it has successfully evolved as a robust ecosystem that revolutionized data storage and computing practices. Therefore the discussions are not of cloud adoption but about multi-cloud environments and hybrid architectures.

Cloud has evolved as most advanced storage and computing technology that allows users to choose a combination of various applications and tools to deliver desired services for enterprise needs.

Enterprises can blend their private cloud with various third party public clouds and leverage hybrid architecture in the most efficient way.

Cloud experts states that public cloud services will be significantly cost effective for frequently varying applications and data computing needs, whereas private data centers will be right fit and less expensive for enterprises that has stable workloads and relatively less variation in demand.

When making a decision of cloud architecture (private, public and Hybrid), enterprises need to consider various factors which includes compliance, data protection, capital expenditure, technology compatibility, cost predictability, latency and probable vendor lock-ins.

Enterprises need to architect their infrastructure flexible enough to efficiently meet end-to-end service levels to their customer and users. This signifies that cloud using enterprise cannot rely only on cloud provider service level agreement alone. It is necessary that enterprises have flexible infrastructure that scales with varying storage and computing demands, adds Ravi Varma Namboori a Cisco Evangelist.

How Does BYOD Programs Influence Enterprise Productivity?

In the recent years mobile devices and cloud applications are enormously getting added to enterprise environments and significantly influencing overall business operations, says Ravi Namboori an IT evangelist.

Evolution of BYOD Bring-Your-Own-Device and IoT Internet-of-Things technologies are driving the global companies towards simplifying and reshaping their existing IT infrastructure.

Usage of mobile devices in enterprise environments has increased massively and this phenomenon has been driving global companies towards implementing BYOD solutions.

Mobile phones are no longer a nice-to-have device today, smart phone technology and efficient business apps have made mobile phone a capable productive tool that brings enhanced mobility in business critical processes.

Organizations planning to opt BYOD solution has to focus on crucial aspects such as security and integrity of their corporate data. Implementing BYOD strategy without proper planning sometimes makes the processes more complex and influence the productivity negatively.

It is clear that, BYOD brings enhanced productivity to the enterprises, but they also need to consider usability and security as crucial aspects to yield positive results from BYOD programs. The possibility of security breaches and data loses will be high when BYOD policies are not implemented with proper plan.

The scope for BYOD strategies and remote access programs to success will get limited when the usability issues arise resulting in failure of the programs. Though the security is the major concern for BYOD programs, organizations need to ensure that the mobile devices are seamlessly integrated with other enterprise systems and networks, says Ravi Namboori a data center expert.

Firms can leverage best from the BYOD programs only when IT teams have proper usability to the systems anytime and anywhere remote accessing without compromising on the security glitches.

Industry experts predict that by 2016 half of the global enterprises will use cloud infrastructure that emphasizes the crucial role that cloud plays in enterprise operations in the near future.

Productivity is the key aspect that organizations need to consider when formulating a BYOD strategy. Firms with in-house data center or on-site data storage need to look for enterprise mobility management solutions blended with cloud based connectivity controls.

The cloud enabled EMM solutions would increase the connectivity between BYOD devices and enterprise networks thus increasing the productivity.

Investing in BYOD programs is a wise move only when organizations efficiently plan and implement BYOD solution. By leveraging the best from mobile devices well implemented BYOD solutions given an enormous business benefits to the firms and reduce security concerns. Successful BYOD program will be more sustainable and manageable and gives best returns on investment.

Ravi Namboori – How Does Access Control Enforces Network Security?

Recent technology trends have induced significant intelligence in to network infrastructure empowering global enterprises to expand the connectivity massively and in turn increase their business growth says, Ravi Namboori Director of Architecture at Equinix.

Experts emphasizes that the constantly growing connectivity and intelligent network products demands simultaneous improvements in network security mechanisms.

In the present digital arena, the connectivity has been growing at rapid pace adding more and more network users and huge amounts of data that deluge on to the global networks turning them more complex and stringent to manage.

Today the need as evolved for networks to become security devices themselves and ensure required security to the data being stored and transmitted.

Though the global enterprises are gaining huge business benefits with recent virtualized networks, on the other hand this network virtuality is making the networks more vulnerable to security threats and fraud intrusions.

Security weaknesses should be addressed effectively to leverage best from virtual network technologies, today enterprises are keenly looking in to critical elements that enable effective protection to their network systems, adds Ravi Namboori a datacenter expert.

Access control being a key component in network technology helps enterprises in defining the regulations on who to access what data resources.

Boundary protection is a key element that enables logical connectivity in to and out of networks. It also monitors and controls the devices that connect in to and out of networks. Enterprises can deploy multiple firewalls that effectively prevents unauthorized internal staff and outsiders entering in to systems. There are proven intrusion detection and prevention technologies that enables network to defend fraudulent attacks from internet.

Network security can be strengthened significantly with proper user identification and authentication practices. System should be capable enough to identify and authenticate the different users. When a system can distinguish a specific user from that of others, it will ensure specific user access specific data or resources that are permitted and prevents unauthorized accesses.

Cryptography is a recent technology innovation in network security that brings effective mechanisms to ensure integrity and confidentiality of sensitive information. This is a key network security element that brings digital signature, encryption, key management and authentication in to network systems to enforce efficient security in networks. Cryptographic tools deployed in network architecture protects the integrity of the data stored and transmitted.

Enterprises also need to focus on physical security measures to protect resources and computer facilities from damage and theft probabilities. Physical security can be ensured by deploying locks and surveillance cameras wherever required and procedures need to be defined to deny or grant physical access to computing resources, says Ravi Namboori an IT evangelist.