Business Experience
We provide pre-built application frameworks that are customized
to meet the specific requirements of our clients’ business functions.
Marketing
The KMS Marketing Analytics solution transforms marketing data into structured information that enables comprehensive decision making.
Sales
Our Sales Analytics solution augments the analysis and display of CRM-based data in ways core enterprise platforms cannot.
Finance
The KMS Financial Analytics solution provides drill-down, snapshot, and predictive analytics gathered from diverse business data sources.
Human Resources
Our HR Analytics solution supports the unified visualization of information gathered from multiple Human Resources systems.
Procurement
KMS Procurement Analytics integrates key data such as product quality and shipping efficiencies into a single view.
Supply Chain
Our Supply Chain Analytics solution provides diagnostic and predictive analytics that spans the entire supply chain.
Industry Specializations
KMS has developed specialized expertise in a diverse group of industries.
We provide our clients with insights into industry-specific analytics techniques.
Product Manufacturing
Diverse Data
Manufacturers operate in one of the most complex data environments. The “data is there” and multiple systems can transfer information into a centralized database. The challenge is to design and build the data structures that correctly receive, prepare, organize, and display the available information.
Unified Views
Industry example: KMS data analytics systems unify data from various systems including ERP, MES, PLC, SCADA, and product data provided by different manufacturers. Unified data, presented in coordinated views, enables multiple departments to improve process control and efficiency.
Wholesale Distribution
Diverse Processes
Distribution channels are often composed of independent businesses whose distribution processes must be coordinated. One of the greatest challenges is to collect and analyze data from these diverse sources then transform it into aggregated and uniform business intelligence.
Coordinated Decisions
Industry example: KMS wholesale distribution analytics systems enable manufacturers to consolidate and analyze data from different distribution processes. These processes include channel distribution data, product shipping volumes, pricing models, discount structures, margins, and marketing/sales expenditures.
Consumer Pharma
Complex Products
Pharmaceutical firms face the challenges of high-cost product development, complex regulatory requirements, and potentially high liability. These conditions make access to combined R&D and predictive analytics data of particularly high value.
Granular Analysis
Industry example: KMS pharmaceutical analytics systems address a broad range of business intelligence needs. These capabilities include the management of data produced through clinical trials, drug physical/opinion leader tracking, marketing budget definition, and competitor analysis.
Telecom Networks
Customer Information
Building new networks is extremely expensive. Telecommunication companies can implement Data Analytics to analyze the extension of currently available networks. Business Intelligence systems can also provide the information to evaluate entry in new markets.
Identify Trends
Industry example: KMS network telecom analytics can be used to analyze and coordinate marketing initiatives, identify new opportunities, and cross-sell telecom products. Our Business Intelligence systems have provided the information that enables increases Average Revenue per Customer.
Financial Services
Complex Scenarios
Financial services institutions often analyze large volumes of data collected from diverse sources of information. Complex financial scenarios often develop rapidly. Real-time decision making can affect bottom line profit and financial outcomes.
Correlate Data
Industry example: KMS financial services analytics provide coordinated visibility of complex business scenarios. KMS Diagnostic and Predictive Analytics provide the business intelligence information to conduct both current-state data views as well as “what-if” analysis of complex scenarios.
Commercial Real Estate
Evolving Opportunities
REIT companies that provide commercial real estate leasing services work within a highly competitive sector of the Real Estate industry. Opportunities for investment can evolve within a matter of days or weeks. Investment parameters and conditions can change rapidly.
Relevant Trends
Industry example: KMS commercial real estate analytics ensure business intelligence information related to opportunities can be visualized as quickly as they evolve. Analytics-based information can provide opportunities faster and more precise business decision making.
Health Analysis
Healthcare Analytics can help
KMS’s Clinics and Healthcare Analytics can help you answer questions specific to your practice—from decisions on profits to the best treatment plans. Manual reports are tedious to generate, prone to errors and delays, and limit data analysis due to its inflexibility.
Rely on concrete data
Data-driven organizations are three times more likely to see major improvements in decision-making (Stobierski, 2019). 83% of executives in top-performing healthcare organizations from the US consider BI and analytics as their top priority to stay competitive (Cortada et al., 2012).
Higher Education
Tracking The Student Lifecycle
Like any other educational institution, Nanyang Technological University (NTU) Singapore is required to provide management reports relating to students’ curriculum and activity — the entire “student lifecycle” on a yearly basis throughout their time at the university. Using our solution, they could quickly and thoroughly analyze admissions statistics and know immediately the status of applications and acceptance, as well as the enrollment at the University.
Admission Pathways
The Admission Pathway analyzes prospective applicants to the school or institute. The data source can include not only the results of prospective applicants to the institute but the results of applicants to competing institutes so as to enable the management to have a view of how the institute is performing both in terms of the applicants it receives as well as comparatively with respect to other institutions.
Analysis of this pathway serves both immediate needs in terms of capacity planning but also drives long term strategic decision making, as the institute may decide to increase or decrease the resources allocated to certain courses in line with the projected demand.
Commodities Trade Life Cycle Management
Commodities Trade Life Cycle Management
The problem with contract management is that Commodity traders use everyday tools including Excel to manage and execute contracts, so traders can’t consistently manage the contract lifecycle and risks. It means little end-to-end visibility into contracts and no single version of the truth, draining resources as even basic reporting requires a lot of work.
The Challenge
Commodity traders use everyday tools including Excel to manage and execute contracts, which means: