Business Analytics Platform Report: Sisense Capabilities and Analysis

This report provides a detailed business capability analysis of Sisense, a business analytics platform. It begins with a brief introduction to the company and its software, which supports the analysis of large datasets and creates dashboards and reports. The report then delves into the features of the Sisense product, highlighting its efficient data collection, visualization technology, and user-friendly interface, which caters to both technical and non-technical users. It also discusses the advantages of Sisense, such as its ease of use, real-time data analysis accuracy, and flexibility in resolving issues. Conversely, the report also outlines the disadvantages, including web-only dashboard interaction, large space requirements, and the technical expertise needed for Elasticube operations. The report concludes by summarizing the overall strengths and weaknesses of Sisense, emphasizing its popularity and high rating in various industries, while also acknowledging the competition it faces from other business analytics firms.

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SISENSE: THE NEW ERA OF DESIGNING BUSINESS PLANS
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1SISENSE: THE NEW ERA OF DESIGNING BUSINESS PLANS
Executive Summary
This paper aims to develop a business capability report on the business analytics firm
Sisense. It includes a short brief about the company. Moreover, it includes an analysis of the
diversified technological base of the company with its various features. This report includes
the advantages and disadvantages possessed by this company.

2SISENSE: THE NEW ERA OF DESIGNING BUSINESS PLANS
Table of Contents
Introduction................................................................................................................................3
Feature of the Sisense product...................................................................................................3
Pros of Sisense software.............................................................................................................4
Cons of using Sisense.................................................................................................................5
Conclusion..................................................................................................................................6
References..................................................................................................................................7

3SISENSE: THE NEW ERA OF DESIGNING BUSINESS PLANS
Introduction
In this era of modernization, business analytics is a growing need for business
transformation. Business analytics represents the skills, technologies, practices for iterative
investigation and analysis of the past performance of a business (Waller & Fawcett, 2013).
This is performed to gain knowledge about the business to draw strategies aimed at
improving decisions and making them effective for a company’s growth. Sisense is a
business analytics company with headquarters in New York, United States. This company
develops a software product that supports the analysis of large data sets from multiple ends
and creates software that creates dashboards and reports on electronic platforms (Appelbaum
et al., 2017). This paper provides an evaluation of the features of the Sisense Company and
discusses the advantages and disadvantages of the products.
Feature of the Sisense product
Companies that solely depends on data and treat data as their ultimate asset widely
looks for the perfect and efficient software that can carry out the work swiftly. Sisense tops
the business intelligence system. It is a software company, whose software is used to collect
data from various sources for analysis. Sisense is a company that provides an efficient and
eye-catching visualization technology that has changed the market for analytics software in
the world business (Bronzo et al., 2013). By the introduction of software, that eliminates the
boundaries to the size of data, it has created a revolutionary impact on the global business.
Not only in terms of size, but also from the point of performance, the efficiency level of this
technology is high. By using such technology, analysts can deliver thousands of data within
hours. This also provides easy connections and provides easy transferability of information
with members and clients. Apart from the data analysts and scientists, non-technical users can
readily use this tool. The software introduced by this company is a user-friendly interface that

4SISENSE: THE NEW ERA OF DESIGNING BUSINESS PLANS
is easy to use and does not require high-level programming skills (Cunningham & Stein,
2018). Additionally, it makes use of a 64-bit computer that helps in increasing the speed of
the system. Sisense provides flexible prices that are desirable and affordable to both small
and larger enterprises. This even allows exportation of data to various other formats like PDF,
Excel, images and more. It avails interactive terabyte-scale analysis of data. This provides
data mash-ups, drag and drops user interface and unification of data. Sisense 10X prism
allows users to analyze thousands of data at very high speed (Fanning & Drogt, 2014).
Moreover, the Sisense Crowd Accelerated BI is a modern technology that helps companies to
solve queries faster, even if the load increases at a very high rate. The brand new Sisense
Pulse technology provides alert, whenever the outcomes generated exceeds the normal
parameters of a specific metric. This system provides support mostly to the data warehousing,
analysis, and reporting, analytics, and integration of data.
Pros of Sisense software
Sisense is a popular business analytics company that is preferable to some of the leading
brands like eBay, Samsung, Phillips, and Sony (Brands & Holtzblatt, 2015). The reason
behind this popularity lies in the strength of the pros that this software company offers its
users. The list of advantages are as follows:
Easy to handle and powerful: The most promising feature offered by this technology is the
simple and user-friendly interface. In addition to this, it provides robust features and services
to its users. The In-chip engine provides fast answers to every query. This optimizes the
performance of the CPU and has greater adaptability, which saves the investments in high-
cost servers. It is an all-in-one BI solution, which helps users to carry multiple tasks including
data handling and vigorous calculations. It offers easy and swift integration with applications
like Google, Excel, Zendesk, and Salesforce (Feinleib, 2014).

5SISENSE: THE NEW ERA OF DESIGNING BUSINESS PLANS
1. Accuracy in real-time data analysis: Error is common when handling large data sets
from multiple sites. Neglecting such errors can result in wrong results that can affect
the decision making of corporations. This is not the case with Sisense software as it
consolidates information into a single platform. It uses web dashboards that help users
to work from a single insight. This helps in avoiding multiple copies and minimizes
alteration of data. Thus, this system provides an accurate work environment for users
to ensure precise outcomes.
2. Flexibility in resolving issues: This software provides an on-premise and cloud-
based option that helps to integrate with a different web application. With Elasticube,
it helps the user to take snapshots of their data to compare with the analysis of
lifecycle. The dashboards are well designed and contain modernized widgets.
Cons of using Sisense
There are two sides to a coin, thus, with advantages come the related disadvantages. Thus,
the cons of using Sisense can be listed as follows:
1. Dashboards of Sisense can interact only on the web: The software is accessible for
those with full-tine availability of the web. It does not offer to send and receive
reports via email. Users cannot access the dashboard and use the reports when offline.
2. Requires huge space for running operations: The software manufactured by
Sisense requires huge space for installation and requires high power to carry out
operations. This interface requires huge time for configuration and adaptability by
users. Yurbi is more preferable to this, because of its simplicity in installation and
maintenance. In spite of Sisense’s high-quality feature, several businesses adopt Yurbi
for easy adaptability.

6SISENSE: THE NEW ERA OF DESIGNING BUSINESS PLANS
The Elasticube is not much user-friendly: Although this Elasticube allows users to access a
huge volume of data, yet it requires technical expertise for operations. Only IT professionals
and engineers can run these difficult operations (Earnshaw, 2019).
Conclusion
In conclusion, this can be viewed that Sisense is a popular business analytics
instrument, which is preferred by several branded organizations. With its innovative and
high-quality features, it provides support in making decisions regarding the proper
functioning of the business. It incorporates several benefits to its users that attracts them to
use this technology. It is a highly rated product from many industries. In spite of its
advantages, this technology consists of certain disadvantages that restrict users from using it.
Apart from this, it has to face high competitions from other business analytics firms running
in the market for producing software.

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References
Appelbaum, D., Kogan, A., Vasarhelyi, M., & Yan, Z. (2017). Impact of business analytics
and enterprise systems on managerial accounting. International Journal of
Accounting Information Systems, 25, 29-44.
Brands, K., & Holtzblatt, M. (2015). Business Analytics: Transforming the Role of
Management Accountants. Management Accounting Quarterly, 16(3).
Bronzo, M., de Resende, P. T. V., de Oliveira, M. P. V., McCormack, K. P., de Sousa, P. R.,
& Ferreira, R. L. (2013). Improving performance aligning business analytics with
process orientation. International Journal of information management, 33(2), 300-
307.
Cunningham, L. M., & Stein, S. E. (2018). Using Visualization Software in the Audit of
Revenue Transactions to Identify Anomalies. Issues in Accounting Education, 33(4),
33-46.
Earnshaw, R. (2019). Visual Analytics. In Data Science and Visual Computing (pp. 73-91).
Springer, Cham.
Fanning, K., & Drogt, E. (2014). Big data: New opportunities for M&A. Journal of
Corporate Accounting & Finance, 25(2), 27-34.
Feinleib, D. (2014). The big data landscape. In Big Data Bootcamp (pp. 15-34). Apress,
Berkeley, CA.
Waller, M. A., & Fawcett, S. E. (2013). Click here for a data scientist: Big data, predictive
analytics, and theory development in the era of a maker movement supply
chain. Journal of Business Logistics, 34(4), 249-252.

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