Financial Analytics

The CFO's office is no longer solely focused on running reports and comparing results against key performance indicators. The CFO of today plays a key role in creating the strategies and funding the operations of the business. As data is growing at an eye-popping rate, the Finance organization is the cornerstone of the organization in understanding how best to apply analytics and how to prioritize handling the magnitude and complexity of data. But to be the organizational stewards on analytics, finance professionals must be put into a position where they can spend more time analyzing data and less time collecting it. Advanced analysis entails detecting patterns and applying algorithms to predict outcomes. Predictive analytics technologies enable you predict what will happen in the future with confidence, so that you make better business decisions. You can apply modeling techniques to discover trends in your structured and unstructured data, then deliver optimized, empowered business decisions.

Customer Analytics

Getting to know your customers can increase customer retention and loyalty. By creating a blueprint to understand your customers more deeply, you may be able to convert them from 'clients' into advocates. While customers are in the research stage, you need to connect with them. You must create real-time interaction through the channels that your customers use. You need to analyze data from multiple perspectives as it becomes available so you get the right information or offer into their hands when they need it. To transform customer attitudes, you must create personalized experiences to which they can relate. This may entail competing for customers that use mobile devices and social media, data that is growing at an incredible rate. As all of the three "V's" - variety, volume and velocity - of both structured and unstructured data increase, so does the demand for analytic capabilities to keep up with it all.

Operations Analysis

Business Intelligence (BI) has traditionally referred to the skills, technologies, applications and practices used to help a business predict, track, analyze and present information as it relates to business operations. Making real-time decisions requires an optimal blend of predictive analytics from multiple data sources. Gaining visibility and reducing complexities transcends merely applying a technology in silos. Much of the data is unstructured, and it needs to be analyzed in real-time. The ability to optimize operations within a company typically depends on a decision maker's ability to react upon the right information at the right time. Information that is delivered on demand, in real-time will increase operating margins and improve process efficiency. Analytics for operations aims to enable you to respond at the moment you need to. Operations will continue to evolve by including more components into business analytic solutions. Some of those business analytic activities will be accessed via alerts to various devices, while other activities will involve more predictive analysis.

Mobility

Mobile Strategy may finally help realize that long-held aspiration of business intelligence - to get the information that you want anywhere you need it, whenever you need it. Adding mobile capabilities can get more knowledge workers to "hop on the boat" towards a culture of data driven decision-making. Perhaps your organization has tried to deploy mobile business intelligence solutions previously with limited success or adaption. Aside from partnering with only the most adept mobile technology vendors, MindStream Analytics conforms to a set of best practices that will help you get the most out of mobile - and allow you to begin to realize that long, sought after vision of an anywhere, anytime data-driven organization.

Managed Services

Concerned about finding, hiring, training and keeping an effective Hyperion Administrator? Can your Sr. Analyst be more effective focused on your business rather than application maintenance? MindStream can help.

Streaming Analytics

MindStream Analytics core competency is the development of statistical analysis and is ready to help our client's organization understand key performance indicators driving behaviors in today's business climate. Whether those patterns are; customer purchase patterns, inventory stocking efficiencies, purchasing models, or any other type of analysis, we can help.

Today, the technology exists to analyze data patterns in real-time as they happen. By deploying streaming analytic software tools, MindStream Analytics is a pioneer at the forefront of the next technology revolution.

Marketing Analytics

Marketing has always been about data, but the data available today has skyrocketed. It continues to arrive at warp speed with ever increasing granularity. From first party to third party data, the data available today is a treasure trove of golden info on markets, segments and even individual consumers. Thanks to technology, customers interact with brands in ways that were not even imagined just a few short years ago. One-directional advertising though static media channels guided customer relationships. Interactions today are complex and multi-directional. The customer has a voice in establishing the relationship- and will also use that voice to communicate to others through mobile and social media channels. The bottom line is all about engaging the customer. The customer relationship has become the greatest company asset. Stronger customer relationships are forged through thoughtful use of marketing analytics. In this age of the customer, empowered buyers erase traditional competitive advantages. You want to take action on deep customer knowledge before your competitor does while avoiding the shiny temptation of marketing only to things, such as channels, devices and technology. Forward-thinking marketing organizations make use of innovative, integrated technology to engage customers in a more personalized way. They use marketing analytics to create the foundation for more successful campaigns and timely decisions.