Wednesday, August 3, 2011

Announcing in2clouds Social Listeners

We are thrilled to announce the general availability of in2clouds Social Listeners for Twitter. A common request by our customers is "Can you help us find high quality Leads?". To help answer this question we decided to mine social channels (e.g. Twitter, Facebook, Google+, etc.) in search of patterns to predict future behavior, like making a purchase, canceling an account or responding positively to a marketing offer. Our internal research shows that companies with higher social media activity have a higher propensity to invest in technology, advertising and financial services.

If you are overwhelmed by the volume and velocity of social media then the in2clouds Social Listeners are for you. They will automatically analyze and recommend actions to improve your marketing effectiveness, sales performance or risk management.

Today we are launching our Twitter channel with more to come in the near future. Take a look at our Twitter tracking demo and let us know your thoughts.

Monday, May 9, 2011

Shared Goals Drive Effective Alignment

Christine Crandell wrote a very relevant post on "Three Metrics to Measure Sales and Marketing Alignment". As a data driven organization we adhere to the believe that we can't improve what we can't measure but at the same time experience has taught us that to effectively change behavior we need to have the right motivators in place.

Before establishing a measurement framework we advise our customers to first establish shared goals and the corresponding rewards. These two are necessary preconditions to move the needle of any alignment metric.

Predicting most likely responders to a marketing campaign only makes sense when those responders are most likely to make a purchase as well. If you are able to define the quality of your marketing efforts in terms of their impact on revenue, then alignment will follow. Almost regardless of the metrics you choose to track it.

Friday, May 6, 2011

in2clouds included in Cutter Consortium's Research

Curt Hall from Cutter Consortium mentions in2clouds in an interesting article on the growing interest in Predictive Analytics. Cutter subscribers can also read a dedicated piece on in2clouds and several other interesting articles on the industry's trends and the recent work of other industry leaders.

Wednesday, March 23, 2011

in2clouds 2011 OnDemand 100 Winner

March has been quite a month for us, Madness all around and without any hoops!

For the second year in a row in2clouds has been selected as an OnDemand 100 Winner by AlwaysOn. We owe this recognition in full to the vision and commitment of our customers and the passion of our entire team.

We also need to thank AlwaysOn for their outstanding work and relentless support for innovation and disrupting technologies. Click here for the full press release.

Tuesday, March 22, 2011

in2clouds Makes Information Management 2011 40 Vendors to Watch List

We are thrilled and humbled by Information Management's inclusion of in2clouds in their 2011 40 Vendors to Watch List!

With the ongoing exponential growth of electronic data for businesses around the world, analytical driven insights have become the core building blocks for world class enterprises in our generation.

Being at the intersection of cloud computing and advanced analytics we are perfectly positioned to help our customers improve their business performance in meaningful and measurable ways.

Congratulations to the other 39 vendors!

Monday, February 28, 2011

New Features and Enhancements

Our Predictive Analytics platform continues to grow and improve by the day. Our latest release available immediately includes many enhancements and feature requests from all of our customers. Here are some of the highlights:

1) Salesforce Chatter integration. in2clouds processing notifications for scheduled jobs (e.g. Model creation, monthly scoring, etc.) are now displayed as Chatter status updates.

2) Our Champion Challenger Framework is now available to all the users of our Unlimited Edition. This popular framework is constantly building and evaluating new models to improve prediction accuracy and adapt to changing business conditions.

4) Our Decision Trees now include a new "Density" view to graphically represent the relative size of each segment/node with different shades of gray.

5) Our Decision Trees now have a preview feature that samples a selected Node and its children and displays selected columns from the original dataset used to train the model.

6) We continue to expand our library of machine learning algorithms. With this release we are adding K-Means clustering, Bayesian classifiers and improved Logistic Regression to our existing library of Decision Trees, Neural Networks, Self Organizing Maps and linear regressions.

We want to thank all of our customers and partners for your valuable feedback. Please keep it coming and stay tuned for more exciting news.

Thursday, December 30, 2010

2010 Lessons Learned

As 2010 comes to an end, we thought it would be appropriate to share our most important lessons learned (re-learned in some cases) over the past 12 months. So, here we go:

1) Everybody is looking at data for answers
Companies continue to accumulate data and are eager to exploit it. Data appear to be a vastly abundant, never ending resource (good data is a different story). The decline in other resources like money or manpower directly increases the interest in using data to gain a competitive advantage.

2) History is important but could be distracting
Historical data is important but a hyper focus on "what happened" could be counter productive and produce analysis  paralysis. Shifting to a mindset of "what is more likely to happen?" and "what is the best that can happen?" tends to create a truly actionable environment.

3) Few people want tools, most just want answers.
Tools are important, they help us build things but when given the choice, knowledge workers prefer to spend their time making decisions instead of building reports. Death by a thousand reports come in different shapes. Sometimes extreme overhead, data overload, or slow decision cycles. This is usually a symptom of trying to answer the wrong questions.

4) Managing with averages yields average results, at best.
Here is a catch 22. Companies that don't drill down to the most atomic data levels and instead choose to manage by averages tend to produce average results. Companies that choose to analyze every single bit of data, can suffer indigestion and fall prey of analysis paralysis. The right approach, we have found is to do an exhaustive analysis but using smart, automated methods instead of report developers and excel spreadsheets. Companies tend to overestimate their averages, thinking that what applies at the national level, on average, will accurately translate to individual regions. The reality is that not all opportunities are created equal. They will vary by salesperson, product line, geography, time of the year, etc. Even if their averages look the same.

5) Hunches are never enough.
Hunches and experience will always play a role in business but so will data. We continue to be enjoy every time our analysis uncovers hidden gems or aha moments that contradict the conventional wisdom.  Particularly when these moments increase the ROI that we deliver to our customers.

With these final thoughts we want to thank all of our partners, customers and employees for all of their help and support in 2010 and we wish everybody a very successful and data driven 2011.