I’m not a good basketball player. Of course I love watching the matches and lap on television during the championships, but when I tried again, after years of being excellent in football in youth, I found that was very hard to be a good basketball player. I had to accept to be good at a sport does not necessarily mean to be good at all of them.
This true story brings me to the current situation of analytics providers. There are many companies capitalizing on the trend for Business Intelligence (BI). These include the application providers who have developed their own analytics tools. You know who I mean – the ERP software companies, CRM and HR. Do not be fooled when they say they are the best in regard to data analysis
Here are four reasons why your management software should not be your Analytics Tool:
1. It’s not in their DNA
Application Providers are experts in their products, but that does not make them experts in BI and data analysis. Over the past few years, you will remember that most of these companies have analytics solutions that failed and were scrapped or replaced with new offers. In my opinion, this is because BI is not the business focus of these organizations.
It’s no secret that these companies want to capitalize the opportunity of BI sales within your customer base. However, companies whose core business is data analysis has more years of experience, not only in engineering but also in their DNA and its employees. Thinking on the other hand, most people do not hire the CRM focused on an organization ID.
2. The data do not come wrapped for gift
People love to focus on the glamor of data visualization, but usually forget the real challenge of a successful analytics project: data. Software companies use phrases like “we are the nervous system of the data.” While it is true that a lot of important information is housed in these applications, how many companies do you know that together, structure and analyze all your data on software from a single vendor? With the trend of increasingly strong outsourcing, it is practically impossible to have all the information housed in one place. A robust analysis tool must support multiple data sources without the need for complex additional features. The quality and governance of information must also be carefully considered in any data analysis solution.
3. cloud solutions may not be the ideal
There is no doubt that the cloud is here to stay and is a major market trends. Industry analysts have predicted that one in four implementations of BI solutions is in the cloud in 2016. But what about the other 75%? There are numerous companies in the cloud is not an option. It is important to have the flexibility of local or hybrid tools in addition to the allocated cloud.
The cloud is often the easiest way to start a data analysis project, but in the long term (TCO Total cost of ownership or total cost of ownership) cumulative is cheaper in local implementations compared to the TCO of a cloud by annual subscription.
4. Vendor Lock-in
Warren Buffet is known for the phrase “Do not put all your eggs in one basket.” He was referring to the investment community, but the same analogy works for the software of a company. Suppliers are likely to provide benefits that appear to complete itself. However, we all know examples of organizations that have partnered with only one supplier, just having trouble and were stuck with certain software. Reduce the risk of your investment seeking the best market analysis solutions.
BI implementations and efficient analytics can have a significant impact on companies. Products “good enough” may not be acceptable. Search suppliers recognized by consultancies such as those in the Gartner Magic Quadrant, and have them prove their efficiency with use cases. This will help you define what those cater more to their needs.
Mike Saliter – Vice President of Industry Solutions of Qlik
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