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Showing posts with label Business Analytics. Show all posts
Showing posts with label Business Analytics. Show all posts

Thursday, 27 February 2014

The Internet of Things: Our Bright Future or Inevitable Downfall

Post written by Blake W., Management Consultant at Ideaca. Read more on his blog: Blake Watson.

The Internet of Things (IoT), essentially a future-focused concept where everyday devices connect and communicate data in an intelligent fashion is a highly contested topic. Will it mark the beginning of a new era in our civilization or a catastrophic detriment to the world as we know it? Skipping over the possibility of our technology becoming self-aware and “terminating” us, these two polar opposites are often portrayed in the discussion of this topic. This post will broadly summarize the IoT and discuss the positives and negatives in relation to our daily lives.

So what is the IoT? It is a term that has been vaguely used since the 1990’s and has gained traction since its initial public proposal by Kevin Ashton in 1999. It is a term that suggests a heavy increase in device-to-device and device-to-Internet connectivity. By equipping these devices into a worldwide network of miniscule identification devices the IoT could transform our daily lives.

Is this interconnectivity even possible? Simply put, yes. Technology is growing at a rapid pace, confirming Moore’s Law, wherein Gordon E. Moore’s observed that the transistors, and thus the processing power of our devices, double approximately every two years. Although many have debated the staying power of this observation, the exponential potential of this theory is astounding. If the past few decades are any indication, the IoT is a highly probable (and sometimes frightening) reality.

As mentioned before, the IoT could transform life as we know it. A simple scenario: You get home from a busy day at work. Monitors in your home identify you and let you in. Immediately, the room taps into a wealth of your personal information and preferences…climate control, music, lighting, and digital décor. These sensors may even be able to determine what you want for dinner and start preparing it for you based off of what is in your refrigerator. Some of these devices are already available through “smart” technology. Within the next 20, the possibilities are endless.

THE GOOD:

For the individual, the IoT integration arguably increases our standards of living. No longer are we plagued by menial tasks that take up our days. The IoT essentially frees up time and energy that could be better spent productively or recreationally. It doesn’t necessarily mean that as a collective we will be healthier, happier individuals. However, we will have more opportunity to achieve this lifestyle.

From the business perspective, greater analytic capabilities are accessible to management and supervisors. Asset tracking, inventory controls, and financial drilldowns are far more accurate. Location services, automation, and device interconnectivity eliminate a great deal of the “guess-timation” involved in these operations. Sectors such as consulting, financial services, and even health could benefit greatly from these advancements.

Businesses also have access to a huge amount of data. Big Data will be a simple task compared to the vast amount of information that corporations will be able to collect from client usage and habits. We will have to start considering XXXL Data as opposed to Big Data. Billions and even trillions of source data will give business owners the tools to minutely tailor their products and marketing to individuals in the most literal sense of the word.

THE BAD:

The IoT has a dark side to it. Many people feel a sense of unease when they consider the privacy concerns the IoT imposes. If you are the slightest bit afraid of “Big Brother”, then the IoT is not for you. The amount of information that can be collected by governments and corporations through the billions of personal, business, and home devices is astounding. These devices sometimes know more about you than you do.
Another hot topic at the moment is job security; for low income earners, the IoT could make things especially tough. A number of unskilled tasks (and even some higher level analytics) might easily be replaced by a network of devices connected to the IoT.

Another concern is the effect that this new world order may have on our physical health. When all of our devices are communicating, making decisions, and essentially managing our lives for us, the opportunity to become complacent with that level of comfort is tempting. The World Health Organization estimates that over 65% of the world’s population currently lives in countries where obesity kills more people than being underweight. This upward trend isn’t expected to slow down anytime soon, especially with the continued introduction of technology that makes our lives even easier.

OVERALL:

Although there are many negatives that could affect reception of the IoT, it is my belief that reactions will be mostly positive. Although some aspects of these new technologies are to our detriment, there is a great deal of benefit that can come from an increased awareness of the IoT. As younger generations are brought up with modern day technologies, we may begin to see society move away from a privacy-centric culture. This shift would effectively reduce public outcry for greater privacy rights in this changing environment.
Although malicious Internet hackers and identity thieves may pry on the wealth of information available, we are facing no greater threat in the future than we are now. Security safeguards are in place and continue to develop. At the same time, data thieves are growing their methods for subverting such safeguards. This struggle for access and security will continue with no real definitive end in sight. Therefore, data security should not be considered within scope of this discussion.

The main problem moving towards our ideal vision of the IoT is that it will depend heavily upon data sharing and corporate cooperation. Think of all of the different products in your home… appliances, personal devices, clothing, and climate control. Seamless integration is necessary to ensure the IoT is able to function effectively in your daily life. If your devices cannot access the personal information it needs it will not function properly. It is hard to imagine companies (For example, Apple and Samsung) sharing customer data and integrating their products out of the box. Cooperation will be mandatory and it is something that companies will have to be overcome as we move forward with the IoT.

As briefly mentioned above, consulting firms such as Ideaca Knowledge Services will benefit greatly from the wealth of information available to them. The greater availability of information resources will allow their consultants to better assess client needs. Having clear needs from both the client and end consumer is essential. Better data means better solutions and ultimately better deliverables.

Whatever your take is on the IoT, there are a lot of variables to take into account. The changes that it will bring to our society are truly hard to imagine 20 years out. For good or for bad, the world is growing and developing towards the IoT. Will we try to hold on to our present state of technology or embrace these changes when they come?

Tuesday, 3 December 2013

Web Analytics supplants Business Intelligence?

Post written by Wade W., BI Consultant at Ideaca. Read more about BI on his blog: Pragmatic Business Intelligence

In reading industry material, I recently came across a statement that can only be, in my opinion, the product of tunnel vision. It was one of the most short-sighted and fundamentally erroneous statements I have seen in some time. Analytics

“At the 2005 Emetrics Summit in London, Bob Chatham from Forrester Research described what it means to be the key. He told the assemblage that we are the leaders of tomorrow – and he wasn’t just preaching to the choir to curry favor – he made sense. Chatham told us that “web analytics” would eventually be subsumed into business intelligence, thereby changing the game. Instead of giant data warehouses being sifted in hopes of finding patterns, it would be the likes of us web analysts in charge.” (Jim Sterne, Target Marketing of Santa Barbara, edited by Erika Lindroth, The Weather Channel Interactive, Inc.)
I agree that web analytics will be (and is starting to be) subsumed into BI. However, I question the sentiment that “giant data warehouses [are] being sifted in hopes of finding patterns” and that Web Analytics would “change the game.” Is Web Analytics really going to revolutionize the art of Business Intelligence so significantly? The implication in this quote is that somehow traditional Business Intelligence is somehow inferior to Web Analytics.
I think this is an excellent example of what happens when someone seen as a leader in a field becomes too engrossed in what he is evangelizing…he becomes blind to the bigger picture.
The fact is that Web Analytics, though impressive in its power to aggregate user behaviour and use this to optimize website profitability, it is by nature a limited field. You are able to track user behaviour – generally anonymous at that – through a single customer-facing channel. Web Analytics is Business Intelligence, that only leverages a single source.

“Giant Data Warehouses,” however, are repositories of cross-organizational data, in most cases that extracted from up to hundreds of disparate data sources – Legacy systems, ERPs, CRM systems, finance, operations, HR, desktop apps, web services, external sources – and loaded into a database of a very specific architectural design optimized to return query results on the huge amounts of data very quickly.
Further, this data will certainly have different meanings across and organization – what does “Customer” mean? How do we define this? Part of the process is to work closely with the business to define common business definitions of business entities…so all that data of all that depth and breadth and richness is (should be….) based on common meanings that have been agreed to by key stakeholders. We can mine the data to identify unknown customer segments. We can do Predictive Modeling. Starting with a business mentality, there is the potential to leverage some powerful Business Intelligence.
But I do agree that Web-sourced data represents a substantial opportunity. We can take those Web-specific data sources that power our Web Analytics Apps, and add that to the existing Data Warehouse, passing through the same business rules to ensure heterogeneous data has a single meaning. Now we are talking organization wide, multi-source Business Intellligence.  Plug BI’s powerful analytical tools into our database, and with some targeted, business-driven KPI’s, and we have another, very powerful means of driving profitability
Web Analytics could be said to be proportionally less expensive than traditional BI – same basic cost range for the analytics tool, but less demand for investment in multiple software licenses from different vendors (possibly), less complex data massage (or not…) and shorter time to implement.  And that in itself is a strong argument in favour of Web Analytics – reduced time to market.  However, you won’t have the spectrum of information you have in a well-implemented Data Warehouse.
I believe that Web Analytics is a complement to BI. It can be integrated into a dashboard, or can stand alone to guide developers and webmasters to optimize content. It does have an effect on our database architecture – we must adapt the design of the database to integrate web data. But does it “change the game”? No – it  makes it more interesting. And as a Business Intelligence professional, I welcome another tool that will add value to my service offering and to my clients.
Wade Walker

Monday, 3 December 2012

An Introduction to PerformancePoint Services Part 1 of 2: OLAP Design



An Introduction to PerformancePoint Services Part 1 of 2: OLAP Design


Introduction

SQL Server Analysis Services (SSAS) and PerformancePoint Services are tools in the Microsoft BI stack used for displaying data. Analysis Services allows analysts to investigate data quickly and dynamically without IT having to write queries. PerformancePoint Services displays high level Key Performance Indicators (KPIs) to executives to be viewed at a glance. These tools leverage the data warehouse to users who may not have technical expertise.
The first part of my two part article will focus on the creation of an Online Analytical Processing (OLAP) cube as well overview of what is required for the delivery of the solution as a whole. The second part will focus on the aesthetic side of displaying data via the dashboard.

What is required?

In order to get a PerformancePoint dashboard up and running off an Analysis Services Cube (using a relational database instead of a cube is an option but the advantages of using a cube include: faster aggregation of measure values, hierarchies of members, and KPIs) a cube will need to be created. SharePoint 2010 is required in order to create a dashboard using Dashboard Designer. Creating a Business Intelligence site in SharePoint will allow for the download of the Dashboard Designer and the ability to deploy the web parts created in the designer to the SharePoint site. Having SharePoint is also a great way to expose Business Intelligence to users; whether it is reports, PowerPivot models, or complicated Excel files. These components of business intelligence all would benefit by being viewed by analysts.

Wednesday, 15 August 2012

IDC Executive Brief
The Current reality of Analytics in Large Canadian Enterprises: IDC Canada Maturity Model
How do you measure up?
July 2012

Sponsored by Ideaca

Adapted from Canadian Business Analytics Landscape, 2012, by Nigel Wallis  

IDC #CA0ECA12

In 2011, more than a trillion gigabytes of information was created and replicated globally, which means it grew by a factor of nine in just five years. Being able to deal with this onslaught and successfully deliver the right information to the right people at the right time is a competitive business advantage. That's why the market for analytics software is bigger than one might imagine. In Canada, organizations spent $923 million in 2011, 12% more than the previous year. IDC anticipates that by 2015 the Canadian analytics market will be north of $1,200 million, meaning the analytics sector is growing much faster than the software market as a whole.

In spring of 2012, IDC surveyed 100 business and 100 IT leaders from Canadian firms with $100 million or more in revenue. IDC spoke with director, VP, and C-level executives to better understand how businesses were integrating analytics into their competitive strategies.

IDC Canada Business Analytics Maturity Model
In order to better understand how analytics is moving from hype to reality, IDC developed a maturity model from the data in the study. Our aim was to identify which cultural and technological choices and decisions determine analytical competency.

To Download a copy of the entire Executive Brief please click here.



Monday, 11 June 2012

2012 Canadian BI Maturity Results from IDC




Next week, Ideaca will once again be travelling across the country to bring IT Directors, CIOs and the like, all together for another one of our National Executive Series Events!

Presenters Richard Hines from Ideaca in the West, and Brian Lee from Ideaca in the East, will be bringing you the latest results in Canadian BI Maturity Research. Be the first in line to benchmark your company against the Canadian landscape.

Canadian companies from coast to coast participated in a survey conducted by IDC designed to extract information on where organizations sit currently, and how they should move forward on the BI Maturity model.

When you’re investing in BI, what research are you falling back on to make your decision? We’ve got all the answers you need to help you make the right ones.

Register NOW to attend a complimentary breakfast session in a city near you to hear the results before they are released to the rest of the country.