Archive for the ‘Business Intelligence’ Category
I guess you have already read/heard a lot about CRM and BI, so in this article you will not find description what BI and CRM is. Also you will not find such dispute as “CRM vs BI” or “Why BI is not CRM” etc. What, then, is to discuss? :-)
Let’s imagine BI and CRM in its tandem.
The discipline of business intelligence includes a broad range of functional activities from data mining and statistical analysis to predictive modeling and reporting. So, BI-applications are often positioned as an indispensable tool for decision making at the tactical and strategic levels. As a rule in this case to work with information efficiently we will need enterprise data warehouse, building of which could “seed” at least half of the total budget for BI, in addition analytical models are rather expensive. Under these circumstances, the need of significant investment is one of the most essential and restrictive factors of dissemination of Business Intelligence systems. At the same time, experience shows that the usage of BI-applications can be fully justified at the operational level, where decisions must be taken exactly in real time. In this approach, building corporate Data Warehouse is not critical, and the using of pre-configured models is not necessary, because BI allows to implement arbitrary “point” data depending on the situation. If you don’t mind I would like to illustrate it with a concrete example.
Let’s consider a small example. For CRM-system we will take Oracle Siebel CRM, as for BI-application it will be Oracle BI. To implement CRM for realizing sms-mailing was proposed to use a single sms-gateway. Let’s assume that the frequency of such mailing is quite high, and volume is measured in ten of thousand of sms. Taking into account that the sms-gateway is just a tool of message transfering, you need to monitor constantly the process of mailing considering the timeline plan, “black lists”, the spam load per user, etc. In this case, in spite of the high performance of Oracle Siebel CRM,it is unreasonable to exchange data between the CRM-system and sms-gateway in online, but it`s reasonable to use additional transit system, which would redistribute the load. When you run a marketing campaign such a system would import data from Oracle Siebel CRM and after the campaign would pass results to the CRM-system . But, at the same time, in case any error arise or a failure campaign reaction time for the problem is reduced, you will know this only after the campaign ends and it may adversely affect the relationship with the client. You could solve this problem either using an expensive integration or through the using of BI-application. For example, Oracle BI enables to control the process of distribution and evaluate the results based on the data from the three systems online. Thus, in case of a large number of notifications incoming to the sms-gateway, that a message is not delivered to the recipient, it would be possible to stop the campaign quickly and make changes promptly, rather than waiting for its completion. Furthermore, using BI in this situation allows to correct the results during the campaign.
So the best effect in the marketing process could be obtained from using BI-applications at the operating level. Also effective BI-applications could be demonstrated in other CRM-processes. In sales BI-applications are indispensable in launching new products to market. In the service – when analyzing satisfaction, assessing value of each customer, etc.
In addition, I would like to notice that such tools as Oracle BI enable to cover the problem of business intelligence at the tactical and strategic levels of management effectively. In this case, using of a single tool would provide high-quality synchronization of business goals, set before BI. The previous experience guarantees more effective using of the already proven BI-application.
Thank you so much for your attention and hope this article is of interest to you.
Elvira Golyak – Business Development Manager (LI page)
Elvira.Golyak@altabel.com | Skype ID: elviragolyak
Altabel Group – Professional Software Development
There is no doubt that 2012 will be another big year for BI and information management. In the article we`ve tried to gather what we suppose are the top BI trends for near future
Big Data → Need for Speed
The rise in volume (amount of data), velocity (speed of data) and variety (range of data) gives way to new architectures that no longer only collect and store but actually use data: on-demand or real-time BI architectures will replaces traditional datawarehouses. Successful business intelligence projects will need to consider Big Data as part of their data landscape for the value that it delivers. More and more organizations will look toward statistics and data mining to set strategic direction and gain greater insights to stay ahead of the pack.At the same time the BI user is expecting faster answers from their BI environment disregarding the fact that the size of data is increasing.
Shift from analytical BI to operational BI
Increased adoption of cloud and mobile BI encourage individuals to access their KPI dashboards (key performance indicators), more often. An operational dashboard works much like a car’s dashboard. As you drive, you monitor metrics that indicate the current performance of your vehicle and make adjustments accordingly. When the speed-limit changes, you check your speedometer and slow down, or when you see you are out of gas you pull over and fill-up. Likewise, an operational dashboard allows you to make tactical decisions based on current performance, whether it is chasing a red-hot lead or ordering an out-of-stock product.
Latest surveys showed that only 25% of employees in businesses that adopted BI had access to that tool. And that is not because they didn`t want to or didn`t need information, but because traditional BI tools have been too bulky and technical for that other 75% of employees to use.
As now organizations more and more are adopting cloud and mobile BI dashboards, this situation is likely to change. Business intelligence is heading towards simpler, more straightforward methods and tools..
An Agile approach can be used to incrementally remove operational costs and if deployed correctly, can return great benefits to any organization. Agile provides a streamlined framework for building business intelligence/data warehousing (BIDW) applications that regularly delivers faster results using just a quarter of the developer hours of a traditional waterfall approach.
It allows you to start a project after doing 20 per cent of the requirements and design that deliver 80 per cent of the project’s value. The remaining details are filled in once development is underway and everyone has a good look at what the challenges actually are.
BI going mobile
In a survey conducted by Gartner, it was found that by 2013 one-third of all BI usage will be on a mobile device, such as a smart-phone or tablet. BI users want to access their data anytime and anywhere. This puts a demand on both the backend of any BI solution (like datawarehouse appliances) but also on the frontend where information access and visualization must be possible.
BI going up to the Cloud
As Cloud computing continues to dominate the whole IT landscape, so BI also dominates in the Cloud . Throughout next few years adoption of cloud BI tools will be driven by a number of important factors. First, cloud-based solutions offer the advantage of being relatively simple and convenient to deploy. Second, cloud tools are more easily scalable to provide access to key performance indicators (KPIs) to everyone in your organization, no matter where they are or what device they are using. Lastly, continually improving security measures will put to rest any reservations businesses have with storing their sensitive data in the cloud.
We believe these above enumerated areas will grow over the next few years. Organizations will embrace the Agile approach, utilizing new tools and technologies to decrease delivery times and demonstrate substantial business value. As we put more data into the Cloud, big data will become standard. Data itself will be delivered to satisfy the desires of users, so access from mobile devices will dominate desk-based consumption. The businesses that embrace these new business intelligence trends, and take steps to change and adapt the way data is hosted, analyzed, utilized and delivered, will be the ones that grow and prosper in the near future.
And what are your predictions for the big business intelligence trends in the next few years? Do you agree/disagree with our predictions?