6 Pilates exercises for abs

Instructions: Throughout this sequence your hips will be in an imprinted position. You should be in this position whenever you have legs elevated in tabletop as this helps to protect the lower back and makes it easier to engage the abdominals. To achieve this, roll the hips towards you and feel how the lower back… Read More »

CRM systems : Leading Indicator Measurements frameworks

Leading Indicator Measurements A leading indicating measurement is a predictor of future financial performance. Many companies look to CRM systems to provide the right leading indicator outputs so that the business can adapt to changing conditions sooner. While most of the measurement frameworks discussed can be leading indicator measurement frameworks, the two main paradigms here… Read More »

CRM : Customer equity building & Customer-facing operations

CRM Measurement Frameworks Customer-Facing Operations Most, if not all or traditional CRM and customer transaction software, collect all kinds of basic data regarding customer facing activities. These operational CRM systems automate customer facing activities and in doing so, collect information on employee and customer behavior. For most companies deploying CRM technology, these are the only… Read More »

CRM Measurement Frameworks : Brand-building & Customer equity building

As discussed earlier, how a company measures its CRM activities depends on who is doing the measuring and what activities are being measured. Below are the common CRM measurement frameworks that both experience and literature review suggests: Brand-building Customer equity building Customer behavioral modeling Customer value management Customer-facing operations Marketing operations Sales force operations Service… Read More »

The Purpose for CRM Measurement, CRM complexity

The reasons companies measure customers is obvious. In order to manage effectively, one must measure. Businesses have long since measured financial performance with traditional financial measurement tools: profit and loss statements, balance sheets and cash flow statements. These measurement frameworks suffer from limitations; they measure past activities and are “lag versus “leading indicators (Kaplan &… Read More »

CRM Measurement Frameworks, Target Audience & Technology-Driven Change

Abstract Comprised of several distinct disciplines and cutting across just about all business units within most companies, customer relationship management (CRM) measurement is complex. Companies use CRM measurements for different purposes; digital channels provide for new measurement and product/service distribution options; businesses are fractured internally with inconsistent communication and often incompatible systems. Despite this complexity,… Read More »

CRM at Work: Eight Characteristics of CRM Winners

Summary Less than 10 percent of enterprises have a single, integrated view of their customers, which is the critical milestone for achieving customer loyalty. Analysis “If your customer satisfaction is decreasing, you’re in a death spiral. Customer satisfaction equals customer loyalty.” — Douglas Allred Senior Vice President, Customer Advocacy Cisco Systems How are you treating… Read More »

Metrics of Customer Relationship Management

Metrics The increased attention paid to CRM means that the traditional metrics used by managers to measure the success of their products and services in the marketplace have to be updated. Financial and market-based indicators such as profitability, market share, and profit margins have been and will continue to be important. However, in a CRM… Read More »

Customer Relationship Management Programs

Relationship Programs While customer contaa through direct e-mail offerings is a useful component of CRM, it is more of a technique for implementing CRM than a program itself. Relationships are not built and sustained with direct e-mails themselves but rather through the types of programs that are available for which e-mail may be a delivery… Read More »

Analyzing the Customer Database, Customer Relationship Management

Analyzing the Data Traditionally, customer databases have been analyzed with the intent to define customer segments. A variety of muUivariate statistical methods such as cluster and discriminant analysis have been used to group together customers with similar behavioral paiterns and descriptive data which are then used to develop different product offerings or direct marketing campaigns.**… Read More »