For years, many marketers have made location data as a part of their toolset. More recently, Business Intelligence is waking up to the importance of Location data on a globalized level. On October 25, 2016, IBM announced that it would be incorporating geospatial and political boundary data. IBM is the major company dealing with data science and analytics and has recently taken a step forward to make global geospatial data from Pitney Bowes as a part of Cognos and Watson Analytics. IBM believes that this partnership would help them reach more of its customers irrespective of their geographical location so as to provide them with more customized individual services. They believe this is just a stepping stone and promise it has more to come in the near future.
Through this partnership, IBM is making geospatial data easily available and accessible to varied decision-makers. This partnership mainly aims at achieving:
- Examining the financial services of various branches and framing a list of under performed branches and enabling ATM locators at such places,
- Creation of digestible maps to efficiently communicate with customers and provide them with real-time updates.
Pitney Bowes makes a statement that “It is the first step for deeper analytics partnership”. Pitney expects IBM to offer more advanced and tactical usages of this location data. Many are unaware that Pitney Bowes is a major global geospatial data provider on a wide scale that it provides its services to top enterprises like Salesforce. This partnership is getting them huge popularity all over the industry.
Boost Big Data Value with Location
With the accelerating technology, number of people using the internet through smartphones are skyrocketing and its percentage is estimated about 89%. The users of smartphones are very aware of its apps and, location mapping is one such app. Big data Enterprises are finding it very easy to estimate the location of their consumers through this data present in the apps and obtain valuable feedback through them so as to provide better products and services to the customers.
Pitney Bowes enterprise has been uniquely established to deal with these types of big data challenges.
Organizations need a medium to link the data they have and data they own in the near future. They need a way to cope up with data volumes and velocity. Any changes might happen in the world, but however, locations remain the same. Latitudes and Longitudes provide a common denominator pinpointing locations with accuracy. They are constant and link information across data and datasets is easy.
Location adds accuracy, agility, and insight to big data applications. Big Data technologies in general stores all the data related to customer, financial and social media. The aim of Pitney Bowes is to unlock its value. These solutions visualize patterns and relationships, make decisions, and generate insights.
When Data Quality and geospatial processing are directly embedded into big-data applications, extraordinary speed, and efficiency, accuracy and precision can be achieved through linking between datasets. Latitude and Longitude coordinates make it easy to connect data across these sources. This invention reduces the complexity that the data analysts deal with. They don’t have to mash together along different data sets to acquire the accuracy. This data is multi-sourced and accurately improved with the accuracy of each geocode designated.
Let us learn about Location Data:
Accuracy of Business Analysis is ensured with up-to-date data sets. Pitney Bowes Location Intelligence Suite has many tools. It incorporates an integrated portfolio of Location Intelligence and GIS solutions. It is considered as the master of geocodes. Every address is pre-geocoded and assigned with a unique identifier. Master Data Location is another biggest data sets of known US locations.
Geocoding
Taking data and tracing its true location enables competitive advantage. Businesses strive to unlock the value within the data they perform, and leveraging at location-based information is the key success factor. Through accurate geocoding and geospatial data, this can be made easy. Geocodes let you integrate, improve and expand insights. Geocodes have made Big Data more manageable and empowering. Attach location to each customer data to evolve at spatial decisions. It enables decision makers to quickly visualize the results by finding the customers within a specific location. Operational expenses can be reduced and ROI can be enhanced earning the loyalty of the customers. Different scenarios can be benchmarked across various geographic areas by analyzing these datasets. Business can evolve at more quick decisions through geocoding addresses and with additional descriptive data. Accuracy of geocodes is to the point including millions of non-postal street addresses and gated communities.
Master location data
It is enriched with multi-source data that deliver appropriate match rates. The results are meaningful along with the codes. Address matching is extremely accurate with overall coverage on a national scale. Each address is interconnected to a wide catalog of attributes. Insight-ready data can be readily delivered through decision making performed under Geoenrichment and master location data.
In simpler words, every organization needs to associate customer locations with specific location-based risk information. Mater Data location and Geoenrichment data achieve it in a simple and accurate straight-through-process. Now organizations can focus on accessing risks and preparing data. Using Geoenrichment module, Master Location Data adds unique pbKey to each address in order to simplify linking to various Pitney Bowes and their datasets to unlock the rich attributable information. Mater Data Location answers questions at both Big picture location like network optimization and detailed questions like flood risks.
Conclusion
Big Data is the economic asset to achieve competitiveness, growth and obtain a job. Mastering Big Data of Cognos will be a cornerstone in achieving a successful career and getting Cognos training will help you a lot. Location Intelligence adds agility and insight to this big data application. It is preferable to capture and transform data into accurate coverage maps to reduce churn and boost customer satisfaction.
