WHY IT ORGANIZATIONS CANT LIVE WITHOUT QLIKVIEW
A QlikView White Paper
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Table of Contents
Unlocking The Value Within Your Data Warehouse 3
Champions to the Business Again: Controlled Self-Service to Relieve the Analysis Bottleneck 5
Discovery vs Standalone Visualization 8
Its Not Just for the Business: QlikView for IT 10
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QlikView brings true benefits to IT groups, helping elevate their stature and importance across the organization by providing real value to the business. Whether yours is a small IT organization struggling to support the business under growing cost restrictions or a large IT organization challenged with being a closer partner to the business and providing Big Data analytics, QlikView enables IT groups to provide faster and more intelligent analytics for the business while taking advantage of existing investments.
Unlocking The Value Within Your Data Warehouse
In many organizations, large investments have been made to create centralized corporate data stores such as Enterprise Data Warehouses (EDW) and group datamarts. By centrally pulling data from an organizations myriad of transactional source systems, cleansed, approved gold standard data can be made available to support analytics-based decision making.
The QlikView Business Discovery platform effectively complements an organizations data warehouse strategy. QlikView provides an associative visualization layer that sits right on top of your data warehouse to provide deep insight into your organizations data to support decision making. It can be used by IT groups and business units alike to help unlock the value hidden within your data warehouse.
Front-end to a data warehouse. By using any combination of ODBC, OLEDB or custom connectors, QlikView can work with your data warehouse in one of two ways:
1. In-memory data analytics. QlikView loads data from a data warehouse (e.g. hourly or daily), compresses it up to 90% and makes it available for rapid in-memory visual and associative analytics.
2. Hybrid in-memory and direct data access. QlikView loads data in-memory as before, but can also be combined with direct access to the databases when data sizes become extremely large, for example as in a Big Data environment. Uniquely, the full associativity of the data elements is maintained, regardless of whether the data is stored in-memory or accessed directly. This provides a truly seamless data experience for the user.
With QlikView, this was one of those rare instances I can honestly say that when we delivered this to the business we exceeded their expectations. They actually got more than they thought they were going to get. For an IT professional, thats very satisfying.
CIO, Fortune 500
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Extending a data warehouse. Todays rapidly changing data reality means that business decisions are increasingly made by analyzing data that hasnt yet made it into the data warehouse. Ad-hoc departmental databases and spreadmarts, data sent from suppliers, customers and partners and even social media data are typically not captured in an EDW yet are used to make decisions. One of QlikViews core capabilities is the straightforward ability to extract data from multiple sources, model it and make it available for analytics. QlikView extends the value of a data warehouse by combining its data with data from non-centralized sources, giving the data more context and improving the insights found within the data.
Figure 1: QlikView can front-end or extend a data warehouse
Parallel Development. Enterprise Data Warehouse projects can take up to 2 years to complete, leaving IT and business functions alike very frustrated. Because QlikView is a rapid analytics development environment, it is used to deliver BI even while the data warehouse is under construction. Rather than wait 2 years, the EDW team can show fast wins to the business and gain further support for their project. QlikView can be used to deliver analytics at all stages of the project because QlikViews apps can be created with the source data and then the same UI can be used with EDW data once it is ready. IT can then understand how the data is being used and they can incorporate that knowledge into the DW.
IT often faces challenges to support the business with data warehouses alone.
Dynamic data. New sources of data are constantly being introduced and existing sources being updated, making the job of maintaining the data warehouse a challenging task.
Immediate analytics. New discoveries and insights found by business functions are often the result of data sourced outside the data warehouse and need to be acted on immediately.
Support backlog. Data warehouses can be slow to change: requests for new reports, new queries and new views from the business typically result in a large and growing backlog of requests from the business to IT. 1
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Figure 2: Parallel Development: Deliver BI even while building the data warehouse
Champions to the Business Again: Controlled Self-Service to Relieve the Analysis Bottleneck
The idea of Self Service BI isnt new: the traditional report-centric BI vendors have been trying to accommodate this demand for years. More broadly within IT, Self Service has become a new normal these days, with BYOD (Bring Your Own Device) just one example of its proliferation and success. Within BI most especially with report-centric vendors - it has often fallen short of expectations because efforts to implement it have been narrow in scope and have required heavy maintenance from the very IT professionals whom they are trying to liberate. But it doesnt mean the demand has gone away and high performing organizations recognize the necessity to embrace Self Service BI in order to stay competitive.
For over 26,000 customers worldwide, QlikView is enabling IT professionals to better serve the analytic needs of the business, delighting business users and making IT champions to the business once again.
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QlikView Business Discovery is inherently self-service 2, with a very important caveat: IT groups must be allowed to maintain discipline and control over core infrastructural elements whilst ensuring that the business units can benefit from the flexibility in analytics provided by QlikView.
Figure 3: Self Service BI Maturity Levels
Discipline at the Core. QlikView gives IT professionals strict control over who can view which data and who can access which applications. This is done by integrating with existing security infrastructure within your organization and by providing highly granular security within applications (row-level and field-level security)
Liberating IT groups from mundane tasks. By providing a truly self-service BI environment, QlikView removes the burden on IT for providing all the analytics to the business, and makes it a provider of an analytics platform on which the business can conduct its own analytics. This frees up IT professionals to focus on higher value activities such as infrastructure, security and governance rather than simply writing and re-writing reports.
Governance & Compliance. QlikView provides extensive logging and server-side management capabilities to help IT administrators manage their QlikView deployments. All licensing, user, application and data access tasks are managed via a single QlikView Management Console. Additionally, the QlikView Governance Dashboard gives a view into data lineage in a deployment and provides an impact analysis when data sources are changed or moved.
QlikView Development Stages
In-MemoryData Model Built
Analytics &User InterfaceDevelopment
User Acceptance& Testing
POWER USERSIT BI GROUP
IT BI GROUP
Level 3 Self Centric
Level 2 Hybrid
Level 1 IT Centric
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Become a champion to the business once again. QlikView enables IT professionals to deliver far more analytics and BI to the business than with any other approach. With its rapid application development capability, requests from the business for new apps can be answered much more quickly, changes to existing applications made easily and with its self-service approach, business users can get answers to their own questions without turning back to IT for a new report. A single QlikView dashboard can replace many 10s of standardized reports. This all contributes to the success of QlikView and makes IT groups who provide it to an organization true champions to the business.
Figure 4: QlikView deployments provide rapid growth in analytics delivery without huge growth in IT developers 3
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Discovery vs Standalone Visualization
A key trend in BI today is the move towards Discovery-enabling tools. As defined, Discovery is about finding something unexpectedly during a search. While many discoveries (either in science or business) are irrelevant and ultimately useless some are so groundbreaking in their significance as to make all other useless discoveries worth it. Visualizing data is just one element of discovery, but its