InetSoft's CMO, Mark Flaherty, speaks about recent BI industry developments:
So definitely there have been some shakeups in the BI environment with some big acquisitions happening. This consolidation has been pending and predicted for some time. So in some ways, I am glad to see it happen, because some enterprises were sitting on the fence waiting to see what would happen before they settled on their BI vendor evaluation list.
Clearly these financial transactions highlight the value of BI and the strategic importance of BI for businesses. The backdrop of a maturing economy and the notion of competing on analytics, this is becoming a reality for enterprises. The role that business intelligence and analytics continues to grow. This bodes well for BI and data warehousing sectors, which of course, InetSoft is a part of.
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We’re really excited from our vantage point looking out as to what is happening in the BI market and the relevance of our product and value proposition in that backdrop. So I think these are very exciting times.
I’d also point out that it’s the smaller, entrepreneurial companies like InetSoft that will continue to drive innovation, and there are many organizations who seek out this type of innovating technology.
Our BI project development methodology is based on industry standards. When we work with a client, first of all, we gather requirements, talk with the client, and find out what they want. Based on those requirements we design a data model using industry-standard dimensional data modeling techniques. Once we have that data model designed, then we determine if an ETL process is necessary. With InetSoft's unique data mashup data access engine, it’s not always necessary.
But if we determine one is necessary, then we design an ETL process. ETL is the process for extracting data from the sources, transform them, and load the data warehouse. Once we have the data warehouse ready, then comes the report development. Finally once a report is done and it is acceptable to users, we do the deployment. We also offer support such as QA to make sure the BI solution is running smoothly.
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Here's an in-depth look at the advantages of InetSoft's cloud-flexibility:
Definition: Cloud flexibility allows for the seamless scaling of resources up or down based on demand.
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Definition: Cloud flexibility allows businesses to adopt the latest technologies and innovations quickly.
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Business Intelligence Evolution - The second type of report is very commonly delivered in police departments across the country. Most have reports that ask or that answer the question what crime occurred yesterday and where? And in fact, often times, you will go into a police station, you will see a visual printout or a map with crime incidents posted on that map with pins. But, again, those questions and answers are just the jumping-off point for more analytical type of questions, such as what types of crimes are increasing and decreasing in the city or in the neighborhood? What neighborhoods are experiencing more or less of crime and why...
Effort of the Data Platform Vendors - So I am encouraged by the effort of the data platform vendors, the Hadoop vendors and the Big Data vendors are putting into this because I can say that I have worked with a lot of customers helping them with governance and security specifically for their Big Data platforms. And it's encouraging to see that we are able to support this requirement because governance and security for me for business intelligence is actually an enabler. It's not a barrier to entry to getting value out of the data. Sometimes we think governance and security is keeping people out.
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Is Power BI a Data Warehouse Tool? - Just like InetSoft, Power BI is not a data warehouse tool. It is a BI tool that can be used with a data warehouse. Where InetSoft differs is that it can also perform traditional data warehouse functions like aggregation, drill-down, data transformation, and data mashup...
New Data Visualization Functionality - I think that the big thing in the near term is going to be a more seamless experience, transitioning between visual representation and other ways of viewing the data. Because, as everybody has been saying, there are different outputs for different purposes for different contexts to answer different questions. So I think unifying and making the experience easier for the analysts is going to be very important going forward...