Sisense vs Tableau | Examine BI Instruments


Sisense and Tableau are two of the most well-liked enterprise intelligence instruments. See how these BI instruments stack up towards one another to know which one is correct on your group.

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Picture: Worawut/Adobe Inventory

Sisense and Tableau are each very talked-about enterprise intelligence instruments designed to assist corporations leverage their knowledge to make higher knowledgeable strategic choices. This text will provide help to evaluate these two BI instruments and their key options to find out which one will finest meet your wants.

What’s Sisense?

Sisense is a BI instrument that helps customers extract actionable insights from massive and sophisticated knowledge units. Sisense presents analytics instruments and dashboards designed for quite a lot of industries and job roles together with IT, human sources, healthcare, customer support and advertising and marketing. The instrument integrates with numerous standard platforms together with Slack, Google Slides, Google Sheets, Microsoft Groups and Salesforce in order that customers can view necessary knowledge inside their most well-liked software program.

What’s Tableau?

Tableau is among the hottest analytics platforms for BI. Companies can use Tableau for knowledge visualization, group and evaluation in an effort to higher perceive their knowledge and use it to make enterprise choices. Tableau additionally presents customizable instruments for various industries and job features to ship the insights that every consumer wants.

SEE: Hiring Package: Database engineer (TechRepublic Premium)

Sisense vs. Tableau: Characteristic comparability

Characteristic Sisense Tableau
Information visualization Sure Sure
Embedded analytics Sure Sure
On-premise connection Sure Sure
Cloud connection Sure Sure
Information governance instruments Sure Sure

Head-to-head comparability: Sisense vs. Tableau

Information visualization

Information visualization instruments and options enable customers to view knowledge in a graph or different visible representations. This may make knowledge simpler for many individuals to know and analyze. Each Sisense and Tableau function superior knowledge visualization performance.

Sisense presents each static and interactive visualizations. Interactive visualizations enable customers to customise their view by shifting a slider or clicking a button to discover completely different views of a specific knowledge set.

Tableau presents a number of knowledge visualization choices together with:

  • Charts: knowledge displayed on pie charts, bar charts, line charts and extra.
  • Tables: knowledge displayed in rows and columns much like Excel or Google Sheets spreadsheet tables.
  • Geospatial visualizations: knowledge displayed on a map to prepare and visualize knowledge by location.

Tableau’s knowledge visualization instruments are pretty consumer pleasant and are nice for sharing knowledge with clients or non-technical coworkers.

Information governance

Information governance refers to how your group secures, organizes and shops knowledge. One main element of knowledge governance is setting consumer permissions to handle who has entry to knowledge inside your BI instruments.

Sisense’s platform consists of 4 key consumer roles that organizations can use to handle knowledge entry:

  • Admin: Admins have entry to your complete system and are additionally in a position to handle deployment.
  • Designer: The Designer function is for staff members that must create, design, edit and share dashboards.
  • Information designer: Information designer permissions are meant for many who can create and share ElastiCubes, a kind of analytics database inside Sisense’s platform.
  • Viewer: Viewers might solely view and discover dashboards which were shared with them. They’re unable to edit the info or dashboards.

Every function comes with default settings, however they might be custom-made to fulfill your group’s particular wants.

Tableau presents extra customizable choices in terms of knowledge governance. Organizations can select from a number of knowledge governance fashions together with centralized, delegated and self-regulating. They will additionally construct their very own knowledge governance fashions inside Tableau for a totally custom-made expertise.

Embedded analytics

Embedded analytics enable customers to embed and combine analytics instruments into their very own present web sites and purposes. This function can be utilized to offer your clients entry to analytics as nicely. Each instruments supply embedded analytics capabilities.

With Sisense, customers can embed analytics into their analytics dashboards and widgets into their web sites utilizing an embed code. Customers can even embed Sisense analytics into present apps or construct their very own customized, white-labeled apps that higher incorporate the design and branding of your group.

Tableau analytics will be embedded through iFrames or JavaScript API. Like Sisense, Tableau permits customers to white-label their widgets and dashboard to ship a branded expertise to clients. Embedded analytics is obtainable as an add-on with Tableau, so you’ll doubtless must pay a bit further for the function.

Selecting between Sisense and Tableau

Selecting between the 2 BI instruments will be difficult as a result of Sisense and Tableau supply many frequent options and comparable connection choices whereas remaining user-friendly. Sisense and Tableau each supply aggressive BI software program that may meet the wants of small, medium and enormous companies. Nonetheless, Tableau is often higher fitted to small companies than Sisense as the corporate presents extra inexpensive charges.

The choice on which possibility is best for you will doubtless come right down to how you intend to make use of the BI instrument. When you’re eager about constructing analytics-driven apps, Sisense could be the more sensible choice. If you need extra management over knowledge governance, Tableau will doubtless provide the better flexibility and performance that you just want.



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