Google's Cloud Bigtable is a fully managed, scalable NoSQL database service for large analytical and operational workloads with up to 99.999% availability.
Predictive Pipeline kept track of every change in the sales pipeline and predicts quota attainment boasting 80% accuracy, with Neuralytics, the XANT predictive engine. The product was based on C9 Predictive Sales, owned and supported by XANT (formerly InsideSales.com) since May 2015, and no longer available for sale.
It works great for any use case that requires high throughput for reads and writes, for key-value kinda data. This enables you to use it for usecases where you need to retain data for a long term or even short term but then use it in pipelines to enrich data, sync states between backend and frontend or to quickly lookup say a user.
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C9 is a good and economical solution for what it does. If evaluating them today, I would want to clearly understand their product roadmap and their ability to execute against it.
Analytics: is at Google's heart. No on can beat Google in this space and BigTable is one of its implementation of this. The insights you gain from BigTable are simply usable in your day to day activities and can help you make real difference.
Speed: Processing TBs and PBs of data under minutes needs real efficient platform which is capable of doing much more than just processing data. All this data cannot be processed by a single machine, but rather huge pairs of machines working in conjuction with each other. BigTable's implementation is one of the finest and allows you achieve great speeds!
Interface: is great. Google has segregated required task under logically placed buttons which takes no time by users to understand and get habituated.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
It gives you the ability to see where your pipeline was in the past and compare to how it is now. You can set queries that will allow you to show at risk deals, committed deals, etc.
This gives much better visibility for management to coach.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We had uptime issues, weird error messages, sluggish performance, and bad data. I hope that some of this can be attributed to growing pains as the company was relatively new when we signed our initial contract.
It was not dependable enough to trust the data and to count on accessing the app when we needed it.
It actually was unavailable at EOQ one time.
I also did not care for the lack of real-time pipeline information. If someone was doing a pipeline review, there was no instant gratification i.e. to see changes in pipeline occur as an AE made a change to an opportunity.
You couldn’t do any configuration at all. Even if you just wanted to change a field or add a filter, you had to go through their services team. It was a recognized challenge and I saw roadmap addressing it.
The query tool is a little hard to use and we have found that queries are very slow and lock up.
C9 is now part of the sales management culture here at IPC. There is no longer any guesswork about the funnel or the forecast. C9 does something that SFDC does not...it increases significantly the value of the information in SFDC by unlocking the meta data that we all need to run the business
For big IT firms like us, data is very important and it only holds its value if it can make sense to us. Therefore, Bigtable's usability is priceless when it comes to decision making based on data.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
From a sales manager’s perspective it was fairly easy to use the base functionality (just viewing current pipeline) and much harder to look at analytics (pipeline changes over time). C9 made this easier by allowing sales ops to publish views to sales managers. The query tool was harder to use than it had to be. For example, there were no out of the box relationships set up between Salesforce.com tables (e.g. accounts to opportunities), so I had to create those relationships myself.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
C9 cares about their customers and responds quickly. However, the ticketing system could be better and there is no easy way to track the status of your requests.
Very simple implementation. They basically set up the imports and then they configure the tool per customer requests.
I wish there had been more consultation during the implementation, but it wasn’t bad given the effort expended. We ended up re-implementing after about a year and a half.
As a hosted solution, that can be managed easily from the Google cloud platform, it enables the teams to think about business use cases vs thinking about the management of the database itself. It is easily to scale it up when you need more throughput or storage. This keeps the developers and the product folks happy.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Zoho CRM is less up to speed and much more out of date. The support at InsideSales.com Predictive Pipeline have been very helpful during the initial roll out face. Overall I was very happy!
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The product provides a single source for pipeline and forecast data and has scaled well with our organization. We have grown from 10 sales reps to 100 reps and we really needed a tool to to manage data and do roll-ups etc.
It's also important to provide senior management visibility into the pipeline, and the tool works well for this.