Customer Analytics Services

Integrated data becomes tangible and actionable when presented in well-defined, structured, and formatted reports and dashboards, tailored for the respective audience. We create predefined reports within an environment that enables business self-service and ad-hoc reporting.

Before advanced analytics or reporting can be applied, your data needs to be brought into the right shape and form.

We focus on thorough data preparation including cleaning, reformatting, or correcting of data, and combining data sets to enrich data. Within data integration, we combine and consolidate data from various different sources into a single, unified view, based on the agreed target solution.

We facilitate the creation of master customer records. Such collections of all your customer data are called a single customer view or 360-degree customer view. Based on this unified profile, you can track all customer touchpoints into a single record. Our customer matching services typically include consolidation of data, or removing duplicities for improved efficiency, enhanced data, and improved integrity of your database.

Link all your critical data to a common point of reference. Minimize data duplication and synchronization. Reduce unnecessarily high infrastructure costs caused by data scattered over various systems. Standardize your data by relating them to company-wide agreed business domain values. Solid data is paramount for reviewing the past – product activity, interaction history, recent product reviews, and campaign activity – in order to understand better the present – active /dormant customers – to influence the future – customer churn, cross-sell opportunity, and next campaign performance. We have delivered numerous projects using our own Accurity Reference as well as other solutions (e.g., Informatica).

Data profiling and cleansing, paired with reports and dashboards, supported by our Accurity Quality module.

The ability of companies to manage their data efficiently has become the key to success on the market. Low-quality data results in the inability to utilize the data and leads to poor decisions based on that data. Businesses are challenged with larger data volumes as well as heightened complexity of the data processed. This places new demands on the correct settings for systems producing and administering data.

At Simplity, we have the ability to define the methodology for setting the data governance model – required roles, responsibilities, and principles of data ownership, in addition to defining the required levels of data quality as well as the measures needed to meet those requirements. In addition to defining and measuring data quality indicators, Simplity is also experienced in leading Data Quality improvement initiatives, and developing operative and managerial Data Quality reports and dashboards, supported by the Accurity Quality module.

Define clear ownership of your data and make data quality improvements part of your daily business. Enhance the understanding of your data, define clear targets, and monitor their behavior. Implement the necessary processes to constantly improve the way you deal with your data.

Simplity can help you refine or tune your data warehouse configuration to comply with changing demands, whether they are business-driven, which may require design and data structure changes, or technical refinements to provide the best performance.

We provide comprehensive data warehouse support on different platforms such as Oracle, Teradata, and the MS SQL server. Simplity’s maintenance solutions include services such as SLA management and go-live support.

By optimizing processes and technology usage, Simplity ensures improved performance and a more efficient and secure information technology (IT) infrastructure for your data warehouse.

Simplity also offers cloud-based solutions and Infrastructure as a Service (IaaS) so far as is feasible, given the respective legal and technical constraints.