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Overcoming Enterprise Analytics’ Challenges
August 8, 2019 data analytics

by CK Tan, Director, Industry Solutions, Asia Pacific, Qlik

Overcoming Enterprise Analytics’ Challenges


I discussed in my last post why organisations need to place People right upfront when they are planning for their Data and Analytics initiatives. In this post, I shall outline the other challenges in technology and data that organisations need to overcome, or risk becoming part of the 70 to 80 percentiles where their enterprise analytics initiatives have failed to achieve the expected impact according to Gartner.


Ensuring Data Security and Privacy

As the number of BI users and data sources increase, high risk of exposure of sensitive data like customer and employees’ records also increases, making them vulnerable to data breaches. Today, it has a severe impact not just on the trust of the customers but also the financial health of the business which includes hefty fines. Marriott faces $125 million fine from Britain’s Information Commissioner’s Office for exposing approximately 339 million customer records globally. As such, BI leaders need to consider putting a formal governance program in place to support business objectives as well as balance out the benefits and risks in their data strategy.


Changing Culture of data reporting

Analytics is no longer restricted to just dashboard or reports embedded in ERP system. Instead, organisations need to reimagine the possibilities in providing insights to wherever and however users need it. Novartis leverages Qlik Sense to equip their sales representatives with mobile analytics so that they have quicker and easier access to critical and relevant data in their moment of need, no matter their location. With the emergence of conversational analytics, leaders to front-line workers can talk to their data using their own language. And when analytics is used in such an easy and convenient way, more people will strive to make data-driven decisions.


Relying on legacy Data Integration technology

Modern analytics require modern data integration. The growing demand for real-time analytics and machine-learning means that organisations need to look at data integration platform that uses technology like Change Data Capture to intelligently deliver data from a wide range of systems to ensure users are always analysing the latest information. For example, Swiss Life France uses Qlik Attunity to enable its Vision 360 initiative and provide a real-time view of customer data, for salespeople, agents & customers. To fulfil the ever-changing business needs and meet the demand for increasingly diverse data sets, the platform should also automate the creation of analytics-ready data pipelines.


Choosing between On-premise or Cloud

Today, many organisations want to leverage cloud for its flexibility and cost, regardless of where data resides. Instead of being led by analytics vendors that dictate a cloud solution based on their agenda, analytics leader should look for a vendor that can provide a broad deployment solution that supports both on-premise and cloud environment throughout the organisation as well as for their eco-systems like customers and partners. Currently, Qlik is the only analytics vendor that offers multi-cloud deployment features, all available in one subscription license.


While these challenges may seem daunting, addressing them head-on and early can set your organisation up for success!