1. EdgeData & Analytics
“Big Data” and “Data Analytics” are broad industry terms, with specificity associated with a given area of study or application. EdgeData views analytics as the match between your business and your work flows, so that data is defined, measured and monitored throughout the pursuit of profit in your business. Data capture, data compute and data consumption are established to be accomplished securely and privately so analytics can be done based on roles, responsibilities and resources.
Who? EdgeData employees work with your business to identify the work flows for your business.
What? EdgeData identifies the “capture” workflow for your data, the “compute” workflow for your data and the “consume” for your data.
When? EdgeData plans for lifecycle of decision-support data, from origination to disposition, identifying backup, restore and retention characteristics based on repeatability and criticality of process.
Why? EdgeData focuses on data-driven decision support workflows in your business because that drives how resources are consumed, how customers are served and how improvements are planned.
How? EdgeData DEFINES data sources, data transformations, data storage, data backup, data retention and data consumption. This may be represented in one or several workflows that represent functions within your business. The workflow development allows for measurement and monitoring of the process to align with resource or process limitations or safeguards. The overall workflow is costed so as to identify the contribution to profit in your business.

2. EdgeData & Forensics
Sometimes you don’t know what you are looking for until you find it. Or you don’t have enough information to fill in the information gaps. Data forensics is about setting up workflows to identify those data sources that capture forensic information, or compute forensic information or consume forensic information. Use forensics to avoid, or minimize, disruptions to your business.
Who? EdgeData employees work with your business to identify the incident, event, restoration and recovery workflows for your business.
What? EdgeData develops the work flows that safeguard your capture, compute and consume processes within the business and provides for business continuity, disaster recovery and information needed to analyze the impact to your business to reduce reputation, performance, compliance or insurance risk.
When? EdgeData developed workflows establish the forensic architecture ahead of the crisis or challenge, so the business is ready for any storm (natural or man-made).
Why? EdgeData experiences have helped businesses transform their risk profile and survive /thrive when challenged with natural or man-made threats. Put simply, what can happen will happen, so be prepared.
How? EdgeData defines the “money pumps” of your business and safeguards the processes that support them.

3. EdgeData & Heuristics
Trial and error; common sense, not always optimal, profiling, rule of thumb or an educated guess are all ways of referring to heuristics. Some heuristics are good, such as interpreting information based on experience. Some heuristics are not good, such as escalation of commitment rather than walking away from a losing proposition.
Who? EdgeData employees listen to your business experts and other industry leading experts for the “feel” that imparts their experience.
What? EdgeData makes sure that the decision-support data is driven by facts that fit the “feelings”.
When? EdgeData uses heuristics as an example when culture needs to be adapted rather than transformed.
Why? EdgeData marries heuristics and data to provide resiliency to data-driven decision support. It has to pass the “common sense” test.
How? EdgeData uses heuristics filters to validate inputs and results during workflow development. It is a great way to involve the “owners” in your organization at various levels.

4. EdgeData & Informatics
Making a cake is easy with a recipe and the right ingredients. But if you don’t quite know the ingredients and you don’t know if you are actually making a cake, it pays to keep track of versions of the recipe. Informatics is the marriage of technology and issues of import to science and society. Informatics is especially useful in developing protocols for the treatment or prevention of disease, particularly chronic diseases.
Who? EdgeData employees help by developing workflows that provide a record of the lines of analysis and action.
What? EdgeData workflows documents the protocols so successful approaches or remedies can be replication within a given population for a given malady.
When? EdgeData goes to work with the marriage of information sources and research aims to produce results that can be turned into protocols that improve the margin of safety or the metrics for the desirable result.
Why? EdgeData realizes that more information is only more useful when more analysis is applied and documented.
How? EdgeData uses data source imports, exports and definable workflows to enable role based access to pertinent protocols while safeguarding the privacy and security of underlying data elements.

5. EdgeData & Logistics
There are many existing aids for normal logistics, including web based maps, GPS tracking and web-sites that can provide the status of a package or load of materials. But emergency logistics or adaptive logistics are necessary when a government, business, community and other involved entities have to work together.
Who? EdgeData employees help during the conduct of drills, with scenarios, solution mapping and information gathering to define response logistics.
What? EdgeData produces defined workflows with alerting, notifications, images, feeds and data source reveals that avoid the impact of uncontrolled communications..
When? EdgeData can support your “drill” or “event” as part of a prepared activity or as an emergent activity when the process has to be documented and understood broadly.
Why? EdgeData has tools that enable comprehensive communications between disparent groups.
How? EdgeData can observe the workflows, gather the contacts and build the application on the fly, including documentation of decision-making based on the known facts at the time.

6. EdgeData & Metrics
Metrics are measurements of processes that can be used to have concrete discussion and exchange with suppliers, customers and employees. Knowing what metrics are important depends on what drives your business or the changes/improvements you want to introduce. Metrics can result in advantages, challenges and CHANGE!
Who? EdgeData employees map the metrics in play by working with the business processes in use within and outside the company.
What? EdgeData identifies the reports on workflows for the desired metrics.
When? EdgeData suggests a metrics review for all core business processes and anytime new technology or significant change is being introduced.
Why? EdgeData can help reduce the cost of business.
How? EdgeData compares the metrics to the goals to determine what aspects are measureable through the process. EdgeData can compare metric benchmarks against leading companies in the particular industry.

7. EdgeData & Pluralistics
Pluralistics are dominating influences in partnering with suppliers, customers and employees. Value and belief systems can represent biases that have to be considered in internal and external workflows. Biases can result in advantages, challenges and relationships.
Who? EdgeData employees map the pluralistics in play by working with the mission, values and ethics statements for alignment within and outside the company.
What? EdgeData identifies the impact on workflows for desired and undesired pluralistic influences.
When? EdgeData suggests a pluralistic review when a process is “broken”, or when significant compliance or regulatory issues exist and when combining entities through acquisitions or partnering agreements..
Why? EdgeData can help reduce the impact of different values and belief systems when establishing workflows..
How? EdgeData compares and contrasts the existing and desired states, tests each step of the workflow against that measure and benchmarks against leading companies in the particular industry.

8. EdgeData & Statistics
Lies, damn lies and statistics! Context, application and measurement bias are elements of tracking defined workflow results and effectiveness.
Who? EdgeData employees build statistical measurement into the defined workflows, with the ability to adapt measures and methods as the workflow is adapted or better understood..
What? EdgeData produces defined workflows with statistical measurement, reporting and analysis as a required element..
When? EdgeData suggest that trial and error during the development of a defined workflow also include trial and error on the statistics gathered.
Why? EdgeData helps your company gain market share or identify effective partnering opportunities by including statistical measurement in targeting opportunities..
How? EdgeData believes there are two methods. Lies and damn lies, or using statistics as part of defined workflows used as engines within your business.