Myths About QlikView, the Robust BI Tool

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QlikView, the commercial BI platform has been on a rapid rise since its inception. QlikView is comparatively the reasonable and best BI tool in the market today.

QlikView is the most likable product by the BI experts. It is an interesting tool with its own pros and cons. It comes with an integrated suite of BI applications that can efficiently create dashboards, reports and other applications. Its strengths include:

· It can rapidly combine data from disparate sources.

· It approves interface highlighting significant relationships in the data.

· Offers extensive visualization via charts, tables, and graphs.

QlikView’s user-driven approach makes it easy to work on for both IT professionals as well as non-technical users. The characteristic that separates QlikView from the rest of the BI store is an in-memory data store. By utilizing this feature, BI can refresh real-time data and monitor financial transactions of BI environments. It serves as the main barrier to wider use. It is considered to be fast, easy, efficient and simple by its customers using it. It can consolidate data within a week’s time. QlikView Training lets you earn expertise in all the above features. Let us have a look at some of the popular fantasies that drive around QlikView.

1. QlikView is extremely fast:

Yes, QlikView is indeed fast. Due to its in-memory engine, that stores all data and eliminates the slow disk operations, every operation is held extremely fast. Precompilation of selections is another feature that aids in its speed. Data Volume is directly proportional to response time. Relational analytical DMBS and scalable MPP architecture make a huge mark in detecting the response time.

2. Rollout time is in weeks not months:

Due to the availability of automatic pre-joined tables, even complex applications can be developed easily and readily. A Good set of charts and flexible expression also play a big part in evaluating the roll out time. QlikView is the first BI tool where visual appearance can be more easily adjusted.

3. No need of Datawarehouse:

Quick response time, prototyping and the best fit for star-schemas make QlikView an ideal choice for data marts. Qlik’s exceptional ability to merge Excel sheets and files with RDBMS data within few clicks makes it as an important use case for many non-technical users.

4. QlikView, an ultimate enterprise BI platform:

Even though Qlikview serves the purpose of heavy dashboarding, query and ad-hoc analysis, however, it does not serve the purpose of heavy reporting and dimensions and data mining. Lack of scalable security also limits the applicability of QlikView as it is a flexible low license model.

5. QlikView is inexpensive:

QlikView’s pricing model makes it more attractive for smaller enterprises. It forms a major barrier for its wider usage. It is a complete platform for responsive analytics, data discovery and schedule delivery all at an inexpensive price.

Conclusion

Good abilities for data manipulation and the short time to production, interactive point, click user interface and high-speed query processing definitely make QlikView a good fit for people in many organizations in the years to come.

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