IBM Analytics Engine vs. VizualSurvey

• Well suited for my big data related project or a static data set analysis especially for uploading huge dataset to the cluster.
• But had some issues with connecting IoT real-time data and feeding to Power BI. It might be my understanding please take it as a mere comment rather than a suggestion.

Incentivized

Understanding customer experience, purchase behaviour, deciding factors, pricing points, delivery schedule, delivery speed, eagerness, acceptance, reciprocation to offers, reciprocation to price increases, results of an offer, results of market changes, factors behind purchase decision, and also employee feedback. All these various scenarios are well suited for the use of VisualSurvey.

Incentivized

• Jobs with Spark, Hadoop, or Hive queries are rapidly attained
• Can collect, organize and analyze your data accurately
• You can customize, for example, Spark or Hadoop configuration settings, or Python, R, Scala, or Java libraries.

Incentivized

• Being able to visualize our data gives us better insight into what works, and what doesn't
• Allows us to create dashboards branded specifically to our individual clients
• Super fast learning curve, easy to get everyone on board

Incentivized

• Easier pricing and plug-and-play like you see with AWS and Azure, it would be nice from a budgeting and billing standpoint, as well as better support for the administration.
• Bundling of the Cloud Object Storage should be included with the Analytics Engine.
• The inability to add your own Hadoop stack components has made some transfers a little more complex.

Incentivized

• Connecting dashboards and templates.
• Prepping software data.
• Need more how-to videos.

Incentivized

We initially wanted to go with Google BigQuery, mainly for the name recognition. However, the pricing and support structure led us to seek alternatives, which pointed us to IBM. Apache Spark was also in the running, but here IBM's domination in the industry made the choice a no-brainer. As previously stated, the support received was not quite what we expected, but was adequate.

Incentivized

Google Data Studio has several problems with modifying data and the way we collect data is very basic and can be outdated sometimes. The visualizations are limited and the formatting is very restrictive. VizualSurvey is much better with data visualization and survey mechanisms where people respond better and we get a higher response rate.

Incentivized

• This product has allowed us to gather analytics data across multiple platforms so we can view and analyze the data from different workflows, all in one place.
• IBM Analytics has allowed us to scale on demand which allows us to capture more and more data, thus increasing our ROI.
• The convenience of the ability to access and administer the product via multiple interfaces has allowed our administrators to ensure that the application is making a positive ROI for our business users and partners.

Incentivized

• Higher success rates with overall customer satisfaction leads to return customers
• Customers are more trusting on larger projects based on the satisfaction of other customers
• Able to more efficiently meet clients needs, leading to faster closings

Incentivized