Sisense Reviews

Recently, we have added our Google Adword and other Marketing spend in to Prism and have linked this with our bookings, giving a ROI (Return on Investment) at Company Level, Destination, Resort and Hotel Level, so we use Prism to drill down showing the Gross Profit and Cost down to Hotel Level, we also then link in competitor pricing data in to the report also, this by far is the most useful report in the Business so worth some sort of mention.

There is a bit of history to this report, we contracted a Developer who had been working for the company for a while to use the Google Adword API to get to the stage where we can use this data linked with our booking data to automatically adjust bid prices, and also use this to add new campaigns etc, and the dashboard reporting was a big part of the development, we use MongoDB within the business for storing user sessions and some caching stuff as its great for handling big data of that type and is widely used for this purpose within the travel industry, and the developer decided to build the Adword data in to MongoDB from the API and also build the booking data in to MongoDB from the SQL database as this is fairly big data and thought using this technology would allow fast reporting. He built an entire website to handle this process and created reporting on the website, this whole process took about 9 Months and then the contractor decided to leave (for tax purposes as he was coming up to 2 years continually working in the same place), there was then a process for about 4-6 weeks of other developers and the MD (who has a Developer background) trying to get this MongoDB & website to report how we wanted it.

So 11 months down the line I and Prism got involved, I had to come up with a way of getting the Google Adword data into SQL and in the format required with additional information, for speed I downloaded a report from Adwords client reporting with the information required and set up a stored procedure to automatically upload this report, link it to additional data from our databases and create the reporting tables in SQL.

We then put all this data into a Prism Elasticube and I recreated all of the reporting plus a number of the backlog requests outstanding on the old method into the Prism dashboards, It took about a day of effort to do SQL work and about half a day to do all of the Prism work, and due to changes in how we were going to alter bid prices within a couple of days of it going live in Prism we ended up scrapping what was a six figure development, although some one does have to run a couple of reports each day and paste them onto a Server, and kick off a job that runs all the SQL stuff and at the end kicks off the Elasticube build using Prism Shell all from a SQL Server job. This process takes a couple of minutes a day.

This is another demonstration of how you should use the right tool for the right job.

I am COO of an on-line travel agency which advertises and lives on-line but handles all bookings by phone or email. Our data analysis requirements span the usual gamut of online advertising via multiple search engines, direct advertising, call center management, lead conversion and efficiency as well as product and demographic performance analysis. To this end, we had assessed competitive products and IT was already testing a leading in-memory technology – but the that product fit was sub-par and we quickly stopped the trial. The solution required specialist IT resources to work with the tool proprietary scripts and consultants to work with and modify the application for our needs. This was not a cost effective way for our business to invest in BI, nor did it simplify our decision making. We assessed that such a tool might have increased our cost by as much as $80,000 a year, given the need for incremental headcount and hardware.

I set a goal where everyone in the company should be able to work quickly and efficiently with the underlying data and reach effective decisions, so we needed a solution that could address three main requirements:

1. Provide near real-time feedback for agents and managers on any metrics (such as sales closings, destination performance, advertising conversion rates) that would help them better serve our clients;

2. Support dashboard and report-building mechanisms that are simple enough for non-technical users to use while still sophisticated enough to provide the ability to drill down and manipulate the data; and

3. Nimble and scalable enough to not require major infrastructure upgrades or impact the existing infrastructure as reports are generated.

SiSense delivered a solution that met the requirements. Within a few months of purchase, we had what we needed: a near real-time dashboard that didn't bog down the company’s servers no matter how many data sources it accessed, and a solution, intuitive enough to allow non-technical users to create their own reports.

SiSense Prism has helped our IT department reclaim time, provide booking agents with near real-time updates, and allowed sales managers to coach and counsel agents to meet their sales goals. The rest of the company can call up reports immediately and manipulate it on the fly, instead of waiting for IT to publish it. IT now has time to focus on core projects while retaining their role as the data authority and interact with users as resources rather than script writers.

Beyond the operational benefits of the solution, the company data-driven culture is also greatly reinforced: Everyone is much closer to the data. All decision makers, managers and agents can now analyze data and share insights in a snap. The travel industry is highly competitive and the fact that we glean insights in real-time across marketing, sales and operations is a key strength for us.

Our company considers itself a next-generation technological company, and its organizational structure and operations are highly automated. Instead of employing a standard monolithic ERP system (e.g., SAP), we have built our IT infrastructure using corporate-environment open-source standards. Automation is approached from a decentralized perspective based on this open-source IT backbone. In other words, our company uses different software packages for different functions and ties them together to form an enterprise collaboration platform. The result is impressive: we enjoy no-compromise IT functionality and flexibility with extremely low software costs. It was into this environment that our company sought to integrate a reporting and analytics tool. Our company’s operational and historical data was consolidated into a homegrown data warehouse, based on a MySQL database. We were looking for a powerful and flexible business intelligence solution that would easily integrate with its existing system, which would not require rebuilding the data warehouse, which would allow non-technical business users to quickly create new reports and analytic queries and which would be relatively inexpensive.

Before we implemented Prism, we relied on the technical expertise of a small number of people to create manual queries. Upon request from business users, the queries were run manually using a MySQL client and the results were exported to Excel for delivery.

Before selecting Prism, we evaluated a well-known open source package (with paid premium service and support) and also looked at a Microsoft product.

We wanted a powerful and flexible business intelligence solution that would easily integrate with our existing systems, which would not require rebuilding the data warehouse, which would allow non-technical business users to quickly create new reports and analytic queries and which would be relatively inexpensive. After evaluating the alternatives, we concluded that Prism was the only solution to deliver on all of the company’s requirements. Whereas our previous approach required hours for each new report, Prism enabled non-technical personnel to create reports in minutes.

During the trial phase, we set up a test database and tested the software successfully using very cheap PC hardware. After selecting and purchasing Prism, more powerful hardware was used. Setup was very easy.

We use Prism to generate all of our standard operational, managerial and financial reports. As adoption within the company is increasing, more and more managers are creating and customizing their own reports. Technical staff is still available to help, but demands on their time are now a fraction of what they were before.

The biggest benefit of having Prism is that we quickly achieved uniform and comprehensive monitoring and reporting on all key performance indicators. Additionally, management now has very fast and easy access to any information they want, via custom reports, and are able to quickly test "what-if" hypotheses using Prism.

We were looking for a way to easily track and analyze key business metrics, such as revenue channels and customer segments, and to generate detailed operational performance reports. Since the company’s operational data consists of about 20M records in a 100GB MySQL database, the solution had to easily integrate with MySQL and quickly process large amounts of data.

Before using Prism, we used various piecemeal solutions to try achieve the reporting and analytics it needed, including manual analysis and home-grown software. Some of our analytics requirements were not being met at all.

Our company explored the possibility of expanding development of its in-house analytics software development, but deemed it too expensive and time-consuming. Our company then evaluated BI solutions from several leading BI software vendors before selecting Prism.

We chose Prism because it had four primary advantages over the competition, which made it an easy choice:

1. The agility of the Prism software to answer current and future questions in a very simple and efficient way

2. The ability of the company’s in-house team to easily create, maintain and modify Prism reports and analytic applications for any future needs without the need for expensive maintenance and support services

3. The rapid analysis of large amounts of data using inexpensive hardware, as demonstrated even before purchasing the software

4. The extremely short implementation time: it took only three hours of planning and ten hours of implementation to be up and running with all the initial reports we wanted

Even before making the decision to purchase Prism, SiSense worked with us to implement a thorough demonstration of Prism running over our actual data. This was accomplished via Web conference only, with Prism running on standard desktop PC hardware. Following the purchase decision, our personnel traveled to SiSense’s offices for ten hours of implementation and training. Overall, it took only three weeks from the initial demo to the live, fully-functional BI solution.

Our management now enjoys the benefits of a comprehensive dashboard which presents live transaction and project data, as well as drill-down views into specific customer, transaction and translation project data. All the managerial and operational reports required by our company are available, and the ability to easily make modifications means that the dashboards and reports are improving all the time to answer new business questions.

The ability of our management to monitor all business processes in realtime allows fast responses to take advantage of new business opportunities as they arise and to prevent small problems from becoming big ones.

At my company, theft-related information was available from several unconnected sources, but without a central database or tools to analyze, our company’s management feared they might not be making the most of their data. The team tasked with finding a solution identified three major goals:

1. Since organizing and aggregating data from various locations drained time and ate up the data team’s resources, our business intelligence solution would have to reduce the workload associated with pulling theft data from multiple sources.

2. Far more theft-related data was available than the team really needed, so simplifying the information after it had been aggregated in one place was the next step. Theft-prevention measures were designed around very basic information: what is being stolen, and where is the theft occurring?

3. Theft prevention is a company-wide challenge, not one the data team would try to solve by itself. Because multiple departments in different locations would use theft information at various points, the team needed a solution that could standardize data consolidation, analysis, and distribution.

Fed up with the complexity of multiple channels, wasted resources, and indecipherable reports, our team started looking into business intelligence options that fit our needs and goals. After initial research, four solutions were evaluated for long-term implementation: Tableau, QlikView, MicroStrategy, and SiSense Prism.

Prism offered the Elasticube Manager, which gave our data scientists the ability to compile data from multiple sources quickly and easily--a major advantage over other BI solutions. This eliminated concerns about data structure and made implementation a snap--a handful of our staff were able to set up Prism with minimal support from the corporate technical team.

Since installation, our Assets Protection teams have created standardized reports and dashboards to monitor theft information, reducing reaction time. Thanks to improved data extraction and analysis, theft-related data is housed in a single location, making data manipulation a snap. The team spends less time configuring data and more time using it to reduce theft.

My team needs to provide information and analysis about numerous aspects of the company’s activity to a wide range of business functions across the company. Examples include detailed Web behaviour analytics, Google Adword spend tracking, email marketing activity tracking, booking pattern analysis for each type of booking and Financial P&L. We require dashboards and reports that include interactive drill-down features so that each user can quickly find information and discover useful insights without requiring the involvement of IT or external consultants.

Before implementing Prism, we were using Excel and an OLAP cube, but this approach didn’t provide an effective way to build nice dashboards or deliver an easy drill-down interface. Also, IT involvement was required to modify the cube every time a new view was required. I have lots of prior BI experience with tools such as Cognos, Hyperion and Business Objects, but I felt that these tools were too expensive and resource-intensive for our needs.

I downloaded and installed a number of modern BI tools in order to evaluate them for our purposes. It didn’t take me long to discover that Prism was much easier to use than the other tools. It was easy to get all my data into Prism and I was able to get a first dashboard up and running without reading any instructions at all, just drag and drop. The other tools required much more time, effort and had a steep learning curve. For example, Qlikview’s 1000-page manual scared me off, plus it was clear that implementing it would have required bringing in a consultant and spending more time and resources than we wanted.

We now use Prism to deliver interactive reports and dashboards across alpharooms.com’s various functional units. We run a number of Elasticube datastores, currently handling about tens of millions of rows, until recently on one standard Windows 7 machine with 8GB of RAM. We have recently replaced our Reporting Server with a new server running Windows Server 2012 with 32GB of RAM, with SSD drives and have now moved our main Elasticubes over to this new server on one of the SSD drives. This was not due to any performance issues with Prism, it was just to centralise all business critical reporting.

We use Prism to analyse bookings activity from a number of different angles. One of the most valuable ways we’re using Prism is to discover opportunities for directly approaching hotels for which we have enough bookings – so that we can avoid the extra cost of going through wholesalers. We now have efficient reporting around each type of booking (hotel, flight, car, etc.) in a very easy, fast, do-it-yourself environment.

Other ways we use the software include analysing website usage patterns, optimizing email marketing campaign performance, optimizing purchasing strategies, tracking and analysing our multi-million pound Google Adword spend, tracking call centre performance and conversions by rep and running reports on all customer activity by search keywords, travel destination, common packages and so forth. We also use Prism to analyse our website content to identify missing or incomplete destinations so that the content team can fix them.

I'd say that the greatest benefits of SiSense Prism are usability, rapid time to insight, no need to read a manual or learn a lot, no requirement for outside consulting, low-IT overhead, very fast processing speed and low total cost of ownership.

I love the data hierarchies in Prism – it is extremely easy and flexible to drag and drop any fields you want without worrying about indexes or joins. One of the DBA’s, an expert in Microsoft BI tools and reporting services asked me why we needed a separate tool when we had the Microsoft stuff. I told him about a particular report that I needed and asked him how long it would take to create that with Microsoft’s tools. He said 4-5 days. I told him that I completed it with SiSense in less than two hours.