Tag Archives: billing

Data: The Unsung Hero (or Villain) of every Communications Service Provider

The faceless hero of CSPs: Data

The faceless hero of CSPs: Data

Analyzing current business trends helps illustrate how difficult and complex the Communication Service Provider business environment has become. CSPs face many challenges. Clients expect high quality, affordable content that can move between devices with minimum advertising or privacy concerns. To illustrate this phenomenon, here are a few recent examples:

  • Apple is working with Comcast/NBC Universal on a new converged offering
  • Vodafone purchased the Spanish cable operator, Ono, having to quickly separate the wireless customers from the cable ones and cross-sell existing products
  • Net neutrality has been scuttled in the US and upheld in the EU so now a US CSP can give preferential bandwidth to content providers, generating higher margins
  • Microsoft’s Xbox community collects terabytes of data every day making effective use, storage and disposal based on local data retention regulation a challenge
  • Expensive 4G LTE infrastructure investment by operators such as Reliance is bringing streaming content to tens of millions of new consumers

To quickly capitalize on “new” (often old, but unknown) data sources, there has to be a common understanding of:

  • Where the data is
  • What state it is in
  • What it means
  • What volume and attributes are required to accommodate a one-off project vs. a recurring one

When a multitude of departments request data for analytical projects with their one-off, IT-unsanctioned on-premise or cloud applications, how will you go about it? The average European operator has between 400 and 1,500 (known) applications. Imagine what the unknown count is.

A European operator with 20-30 million subscribers incurs an average of $3 million per month due to unpaid invoices. This often results from incorrect or incomplete contact information. Imagine how much you would have to add for lost productivity efforts, including gathering, re-formatting, enriching, checking and sending  invoices. And this does not even account for late invoice payments or extended incorrect credit terms.

Think about all the wrong long-term conclusions that are being drawn from this wrong data. This single data problem creates indirect cost in excess of three times the initial, direct impact of unpaid invoices.

Want to fix your data and overcome the accelerating cost of change? Involve your marketing, CEM, strategy, finance and sales leaders to help them understand data’s impact on the bottom line.

Disclaimer: Recommendations and illustrations contained in this post are estimates only and are based entirely upon information provided by the prospective customer and on our observations and benchmarks. While we believe our recommendations and estimates to be sound, the degree of success achieved by the prospective customer is dependent upon a variety of factors, many of which are not under Informatica’s control and nothing in this post shall be relied upon as representative of the degree of success that may, in fact, be realized and no warranty or representation of success, either express or implied, is made.

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Posted in Business Impact / Benefits, Business/IT Collaboration, Data Governance, Data Integration, Data Quality, Operational Efficiency | Tagged , , , , | Comments Off

When It Comes to Data Quality Delivery, the Soft Stuff Is the Hard Stuff (Part 4 of 6)

In my previous post I emphasized the importance of demonstrated project management fundamentals as a key enabler of effective data quality delivery. In this blog, I will discuss why an understanding of corporate financial concepts is so important to data quality success.

Despite the continued evolution of data management technologies and the growing awareness of the challenges and promises of data quality, business buy-in is still a major barrier to the widespread adoption of data quality as another lever to achieve operational effectiveness. One of the key reasons for limited adoption is a clear linkage between data quality and a business’s performance, which is measured in a myriad of ways from operational metrics to managerial reports to formal KPIs. But, eventually, the enterprise’s performance is summarized in three key financial statements; the income statement, the balance sheet and the cash flow statement. Positioning data quality impacts or improvements in the context of these financial statements begins to “connect the dots” and moves data quality from the abstract to the concrete and from the theoretical to the practical. To illustrate this point, let’s take a look at the impacts and implications of a simple data quality issue like “undeliverable” billing addresses. (more…)

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Posted in Big Data, Business Impact / Benefits, Business/IT Collaboration, Data Governance, Data Quality, Enterprise Data Management, Master Data Management, Operational Efficiency | Tagged , , , , , , , , , | Leave a comment

People, Processes and Technology – Don’t Forget the TECHNOLOGY!

As a routine matter of delivering care, billing for services and operating their hospitals and physician practices, healthcare providers deal with patient’s protected health information all day, every day. Dealing with the data becomes routine and it’s easy for sometimes onerous security and privacy policies and procedures to be overlooked. While we’d all like that not to be the case, delivering healthcare (and getting paid for it) is a hugely complex undertaking and focusing exclusively on human processes and calling for constant vigilance and attention to detail can only go so far. (more…)

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Posted in Data masking, Healthcare, Professional Services | Tagged , , , , , , , , | Leave a comment

Why You Need to Re-think Implementing An Integrated Customer Service Hub

In the evolution of Billing ‘thinking’ for Telcos we’ve seen everything from ‘All you can eat’ offers to ‘Another coin in the slot’. But this perennial business process black-hole can prove to be an area that can add to a Telcos armory in retaining and keeping happy its corporate customers. Not only this but following on from lessons learnt by the Financial Services community it can provide early warnings of customer, partner and service exposure, significant benefits to any organisations Revenue Assurance efforts.

The Integrated Customer Service Hub has evolved to allow customers, frequently the high value corporate organisations, on-line access firstly to Billing information then expanding to encompass other operational data such as new service orders and provisioning data, trouble tickets and service usage data. Increasingly customers are requiring being more in control of their services and so the hub has further evolved to allow customer self-servicing allowing them to place orders and receive information in the format that works for them not just their telecommunications service supplier. (more…)

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Posted in B2B, B2B Data Exchange, Data Transformation, Uncategorized | Tagged , , , , , , | Leave a comment

Data Quality Helps Find Missing Revenue

The establishment and maintenance of accurate customer data is the key to all revenue-generating events that a company has. A single key question is at the heart of this: Do you understand your customers? And good quality data is at the heart of the answer to the question.

As an extension every organization must know who its customers are, what do they want? What did they buy?  This question appears straightforward, but it’s not uncommon for every department within a company – finance, sales, marketing, or customer service – to have a different answer because each has their own version of the customer data. (more…)

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Posted in Customer Acquisition & Retention, Customers, Data Governance, Data Quality, Telecommunications | Tagged , , , , | Leave a comment

Building A Business Case For Data Quality: Analyze Data And Identify Anomalies

Building A Business Case For Data Quality, 4 of a 7-part series

Now comes the fun part, inspecting the data. For this step, automated data profiling will help you identify actual problems with the data as they relate to business client expectations. Here are just a few possible issues:

  • Are the phone numbers empty?
  • Are the admission dates missing in inpatient hospital claims?
  • Are there car loans with durations greater than 10 years?
  • Do shipping records lack corresponding billing records?
  • Do product descriptions differ only slightly?
  • Are you delivering products to many different customers with the same address?
  • What business rules are being violated? (more…)
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Posted in Customers, Data Quality, Pervasive Data Quality | Tagged , , , | 2 Comments