3 ways to improve the Business Intelligence (BI) adoption rate

With an ever changing technology landscape and the overflow of digital data, Business intelligence plays a critical role for companies to remain competitive in the market. The power to understand and analyze data to make quick, competitive and impactful decisions is the need of the hour for any decision maker. BI user adoption plays a critical role in the drive to become a data-driven company. Unfortunately, BI adoption rate for many companies hovers as low as 30% for the executed BI projects. This situation leads to massive loss of time, infrastructure and money spent on these BI projects. Below are a few approaches that help in improving the BI adoption rate in the company.

1) Strategize BI from Top:

Adopting a data-driven culture is a transformational initiative and cannot be started from the bottom rungs of decision making unit. The strategy has to flow from the top to bottom. The corporate objective has to be modularized and the departmental objectives have to be aligned to match to business objectives. Most of the BI projects fail during this phase as companies take the bottom-up approach and the compartmentalized BI implementation eventually does not align with the overall business needs of the organization. Start the business intelligence planning from the top and implement it progressively to the bottom of the decision table.

2) Implementing for business user:

Most BI projects in the market are implemented as packaged solutions with IT department functioning as gatekeepers to the BI reporting. Unfortunately, each business is unique and the business challenges are specific to the organization and there can be no one product fits all solution. Business Intelligence should not to be treated as a replacement to existing reporting environment; rather it should help business users to work smarter, move faster and make better decisions. It has to address to the specific challenges of the company and not just produce template market reports. Eliminating the mindset of treating BI as an IT function and enhancing the business user experience with self-service BI reporting goes a long way in improving the BI adoption rate in the company.

3) Bring BI to review meetings:

While BI is seen as an initiative to enhance the reporting environment and close the gap between data to decisions, it is still not universally accepted tool for review meetings. This situation is partly attributed to limited understanding of the BI audience in the company. While there are power-users in the organization preferring slice and dice of data for dynamic analysis, there are even more information-consumers who would be content with generating static reports for business metrics. Industry estimates a ratio of around 1:4 between dynamic and static reporting. Understanding and balancing the equation between these different types of users is a critical component in the success of BI adoption. Use of BI tool in review meetings helps in collective analysis and thus improving the adoption of BI culture in the company.

These are some of the many steps that can be taken to improve the BI user adoption in the company. The drive has to start with understanding the different stakeholders involved in the decision circle and addressing the specific challenges faced in making decisions.

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Seeing the future from the eyes of Google

ImageGoogle had become the gatekeeper for our Internet house. It had gone so deep into our nerves that sometimes, it even make us feel handicapped when we don’t see Google on our browser homepage .

This post is about looking into the future of Google Search. So if you don’t like Google, I suggest you to not read any further. In my earlier blog on “If passion drives success, what drives passion?” I touched upon Google and its vision to deliver relevant results across all data sources. So let us begin with an analysis on Google past and together let us visualize the future from the vision of Google. 

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Eric Schmidt, the executive chairman of Google, in an interview to Charlie Rose sometime in 2005, famously said “When you use Google, do you get more than one answer? Of course you do. Well, that’s a bug. We have more bugs per second in the world. We should be able to give you the right answer just once. We should know what you meant. You should look for information. We should get it exactly right and we should give it to you in your language and we should never be wrong. That’s our challenge.”

This statement makes more sense now, in 2014. Today, Google customizes our search data based on our device, time, location and interest (through Google login in different Google products). With recent additions like Google instant and profile based search algorithms, the company had moved from basic keyword search and is set to deliver the best possible search we can seek for. From endless searching of pages in the early 2000s, we don’t feel the need to look beyond the 3rd page of Google search to find the right content, for most of our recent searches.

The basic search engine which started as a PageRank had evolved into a solution provider for all our search queries. True to the mission of the Google “To organize the world’s information and make it universally accessible and useful”, the company is able to explore and integrate most of the digital data available on the online space. It had even gone to the extent of creating new data through products such as Youtube, Android, Google Glass and Internet of things like robots and driverless car etc. The heart of the company lies in the “Google Search” and all the products like Gmail, Google+, Youtube, Google Maps, Books, and Chrome etc form the veins that pump the extra blood to heart. Though each of those can act as independent products on their own, they are either invented / acquired with the very purpose to improve and customize the Google search and to deliver the most relevant possible result.

ImageSo what do you think the future of Google search will be? With the recent acquisition of Motorola mobility, wearable devices and neck tattoo patents, Google is all set to move ahead in the direction to read our mind and to answer queries in dimensions we never thought before. With the possibility of using analytics over bigdata, the possibility of predictions are endless as well. We will soon see a day when Google will tell us what we will search next as a part of the recommendation cycle. We will soon see a day where Google will provide answers even before we frame the question. We will soon see a day when Google will know us more than we know of our-self. Don’t you see the possibility hitting our digital doors?

♠ Be ready to share your data mind in the mind-boggling journey of Google ♠

If you have a bad social avatar, you are not employable – says Bigdata

The term “Big data” is still new and unheard in many organizations, but is rapidly creating eruptions all around the world. So before we begin this blog, for the benefit of the non technology savvy people – what is big data all about? It is an accumulated data set that is collected from both structured (as in traditional databases, tables etc) and unstructured (like the social media, videos, photos, emails etc) forms of data. The recent ability to harness these structured and unstructured data together has created a big vibe in the information industry. Open source technologies like Hadoop and R analytics have made it even more affordable and accessible for the new age organizations.

In this blog, I am not going to talk about the benefits of bigdata for the companies. A simple Google search on bigdata will provide you with millions of topics to read and sleep. I am going to unwind a field where bigdata is rapidly making in-roads and is definitely going to revolutionize the way we perceive social media.

  • What if I say that bigdata is going to determine whether you are a suitable candidate for an academic seat in an institution?
  • What if I say that bigdata is going to determine whether you are employable for an organization?
  • What if I say that bigdata is going to determine whether you are good citizen or not?

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Sounds unbelievable? It is the reality. Some US academic intuitions are exploring bigdata for admission processes. Companies like Google have already started analyzing bigdata for hiring better employees. Government organizations are looking into bigdata for collecting information on non-tax payers and defaulters.

We are going to see a radical shift in the way recruitment is going to happen in future. Resumes will very soon become an outdated process for recruitment. While companies are going to fight it out for the right candidate on a global level, gear yourself and be prepared for a roller coaster ride – a direct message from bigdata!