Analytics and BI in companies is unstoppable. The nº of analytics experts and data consumers is growing at a higher rate than resources in IT departments.
The rising of analytics and business intelligence adoption in companies is unstoppable, the number of analytics experts and data consumers is growing in a higher rate than resources in IT departments. So, analytics is evolving to a more user-friendly mode, using automation, natural language or voice processing; and to a most wide range of features including augmented analytics with ML-enabled, augmented alerting and anomaly detections being the new trends in the market.
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Many companies are willing to cover this need, and these are the three that do it better with its strengths and cautions:
Microsoft – Power BI
- Strengths:
- Low license cost
- Good Sales experience
- Ease of use for complex types of analysis
- Powerful visuals
- Robust user community
- Supports complex data models with integrated advanced analytics
- Comprehensive product vision: integration of all capabilities (augmented analytics, new AutoML features, Azure cognitive services, support for existing Reporting Services reports…)
- Cautions:
- Cloud only in Azure
- Power BI Report Server enables users to share reports (not dashboards) and lacks some of the ML capabilities found in Power BI SaaS
- Agile self-service analytics (Power BI) today is a different product than Scheduled-distributed reporting (Reporting Services) but they will be one in a short-term roadmap.
- Some of the scale-up options require multiple products; for example, advanced conversational analytics require Cortana.
Tableau
- Strengths:
- Easy visual exploration and data manipulation while visualizing
- Customers are fans
- The company is growing in terms of revenue
- Cautions:
- Product gaps: Support for querying multiple fact tables and complex schemas in a single data source is absent from Tableau’s product. It does not support scheduled, bursted reports in a variety of output formats.
- The quality of support is declining, the upgrading difficulty is raising.
- Bad sales experience: expensive prices and lack of flexibility in contracts.
- Agile self-service analytics (Power BI) today is a different product than Scheduled-distributed reporting (Reporting Services) but they will be one in a short-term roadmap.
- Data scale-up options require multiple products; for example, advanced conversational analytics require Cortana.
Qlik – Qlik Sense
- Strengths:
- Product features and extensibility: augmented features as Cognitive Engine, Insight Advisor that help users find useful insights faster, automatic chart generation, …
- Active user community
- Product vision: extends and enhances its platform as the market evolves
- Cautions:
- QlikView and Qlik Sense require multiple products to complete the offering (Qlik Data Catalyst, Qlik Nprinting, …)
- Bad migration experiences and a support service below average
- Slight decline in interest in Qlik.
Source: Magic Quadrant for Analytics and Business Intelligence Platforms. Published 11 February 2019 - ID G00354763 -By Analysts Cindi Howson, James Richardson, Rita Sallam, Austin Kronz...