Wednesday, 25 February 2015

Green Energy Companies Need of Analytics

Our world is becoming more and more connected. Data, machines, people and processes are interlinked in ways we could only imagine before. With 15 billion web-enabled devices and an emerging global middle class poised to exceed five billion, transaction, machine-to-machine, and conversation data is doubling worldwide every 18 months.

While this can be daunting to think about,  immense, untapped value in this data – and a huge opportunity to translate that value into tangible business outcomes. By accessing the data and making it fit for analytic use, we help our customers identify trends that reveal new markets, channels, and innovations. The bottom line: Data and its corresponding insight can be catalysts for employee empowerment, decision making, and an increased reach and relevance in the marketplace.

An Untapped Opportunity
Many organizations remain challenged on how to capitalize on the value of their data. The most common obstacles include:
Not enough access to needed data  - It’s hard to manage and consume all available information when there is so much of it. Using only the most accessible information can mean missing new signals.
Too many systems - Many organizations rely on a patchwork of products, approaches, and methodologies. Managing such a mashup can quickly become unwieldy and expensive – and lead to suboptimal decision making.
Outdated BI tools - Many key reports are based on week- or month-old data, when the pace of business demands real-time analysis encompassing predictive analytics, visualization tools, and data discovery.

The Business Value Cycle
To stay competitive you need to overcome the obstacles and derive the maximum value possible from your data. The most successful organizations document their value creation process using analytics to inform both strategic initiatives and tactical operations. We refer to this as the Business Value Cycle discover, plan, inform, and anticipate.

Analytics in Action
Companies who leverage the full potential of analytics can boost efficiency, enter new markets and squeeze margin from existing businesses.green energy company can bring value while keeping maintenance and operations costs at current rates,new customer markets while maintaining their traditional power customers. Analyzing its social media data determine brand sentiment and monitor fluctuations as the rebranding initiative evolve,can also predict field equipment, turbine, and solar panel maintenance based on meter and usage data,can also track high-value assets and truck movements for inefficient usage or abnormal behavior which helps cut costs and enables investment into new markets.

Using analytics and the business value cycle, Green energy companies can discover and assess the risks for their business transformation, devise a strategy and plan, inform the organization, and gain valuable insight with real-time reporting to anticipate and predict the potential outcomes. In addition, they can improve many aspects for their business using analytics that include:

Regulatory compliance-With governance, risk and compliance software,  can monitor hanging regulations to ensure compliance as they enter new markets.
Business transformation planning and costs-can plan their budgets, consolidate and report on their subsidiary performance and the impact of their new corporate initiatives.
Brand sentiment-Using business intelligence the marketing department can capture, analyze and visualize their social media comments to improve customer experience and optimize campaign performance.
Predictive maintenance-The field operations team can analyze a continuous stream of machine data and diagnostics to predict performance degradation and significantly minimize equipment downtime to ensure customer satisfaction.

Thursday, 19 February 2015

Big Data online courses


Here are some of the best big data classes offered online:
Udemy
Big Data and Hadoop Essentials
The course is perfect for people who wants to begin a career in Big data technologies. Udemy, a one of the leading virtual schools, brushes the fundamentals to understand the cryptic Big data problems and how Hadoop can solve them. The best thing about this class? It is free!
Coursera
Web Intelligence and Big Data
Coursera's take on Big data course focuses on web-intelligence applications essential in social media, mobile devices and sensors. This is based on the map-reduce parallel programming pattern. It is also anchored on distributed file systems, no-SQL database and stream computing engines. This 9-week long class is offered as a self learning course, which does not require superior essay and exam skills.
Duke University via Coursera
Data Analysis & Statistical Inference
Duke university in partnership with Coursera lets you delve more into the wonders of Big data technology. In this 10-week course, you'll have a deeper understanding of data collection, and data limitation methods and it affects range of interference. You will also have hands-on training on estimation and testing methods to test single variables that helps you make data-based decisions. This course is for free.
Harvard Extension via iTunes U
Massively Parallel Computing
Big data can quickly crush centralized computing approaches. That is why learning about massively computing is a very helpful big data skill. This hands-on course under the famous name of Harvard School of Engineering and Applied Sciences, covers parallel programming models, multi-thread programming, cluster and cloud computing, and MapReduce through Hadoop.
Code School
Learn The R Programming Language
The class is divided into eight levels to better understand R programming, for data analysis and visualization, great from statistical computing and images. Every class gives you a deep and practical knowledge on the use of R language. Though the course is free, and focuses on fundamentals rather than advance lessons, its interactive format makes the lessons worthwhile.  
MIT Open Courseware
Advanced Data Structures
Massachusetts Institute of Technology offers an advance lesson on data structures and its important application on Algorithms, like that of Google. The study also talks about current directions of research and findings in data structure. The course, however requires you to pass an undergraduate algorithm class, or the open Courseware's Design and Analysis of Algorithms class.

Tuesday, 17 February 2015

Smarter Utilities for Smarter Cities India's Perspecitve

Adoption of smart grids or distribution automation is the need of the hour.
Solar power in the form of distributed rooftop generation will have a significant role in providing smart cities with an environmentally sustainable power supply. Distribution automation can provide an excellent way to integrate power from renewable and traditional sources, by scheduling each energy source to optimise value.
It also has the possibility to identify customer outages before individual customers call the utility to report them.

Smart water utilities, new automated systems that can interpret data from factors such as water source, pump efficiency to estimate customer usage and making billing more efficient and accurate.

Internet of Things remote meter reading ,share communications infrastructure. are examples of where utilities could collaborate to leverage the investment costs between utilities implementing similar functions. Network convergence lowers the operational and maintenance costs of supporting mission critical infrastructure, while providing scalability.

Application of data analytics and management programs will allow utility managers to make smarter operating decisions and efficiently deliver on the business goals of the utility enterprise.

Improving the efficiency of utilities, which in turn would make communities more adaptive, resilient and sustainable, is the key to development of 'Smart Cities'. With a smartphone in the hand of every Indian in near futuer, the prospect of a cloud-controlled infrastructure platform would pave the way for every urban citizen to utilise resources in the most optimal manner, heralding an era of a smart, responsible and an environment citizen