Growing Pains in Data

Growing Pains in Data

When you go home tonight, take a brief look at your house, and ask yourself. “How many stories or rooms could I add to this house on top of its current structure?” Could you add 5? How about 10? Would you casually add 20?

Like this thought experiment, your organization has likely added many floors and rooms to its house as you’ve organically grown and made acquisitions. But the foundations of your data management may have not changed, and this existing foundation is putting a cap on the amount of growth your organization can expect to gain in the future. Let me see if I can guess your current situation:

While you store vast quantities of raw data in a wide array of systems, little of it tells a cohesive story about your business, and there’s no process, governance or oversight in place to ensure its consistency. The simplest question about “who your customer is, and what you’re doing with those customers”, requires hours of manual data integration work. And this isn’t work that permanently answers that simple question. It’s mostly throw away work because you don’t have the systems to automate that manual data integration. Then at the end of all this manual work, you ask yourself, can we trust this data?  


Additionally, you may have a single customer represented as data in 6 different systems in your company. These are systems like, Billing Systems, Customer Relationship Systems, Operations Systems, Lead Management Systems, Support Systems, Etc. Those systems have no awareness of each other’s records. There is literally nothing but hours of human labor that show us where a customer has touched your organization. This disparity of customer data only increases the more you grow, and your capacity to reach our customers further dilutes if you don’t change your data management foundation.

So how are your competitors dealing with these issues?

First, they have a Master Data Management solution for synchronizing customer records. This enables your competitors to see where their client has touched their organization and enables them to keep their customer records up to date with the latest information updates, no matter where the touch point came from.

Second, they have a Data Warehouse which deals with the integration of their companies attributes and measures in a disciplined way, which the entire organization can consume. This feeds everything from Field Level Reports, to Analytics, and Executive Dashboards. And this is what a data management backbone includes.

So how can you get there? First you need a cultural recognition that Data Management is central to your growth trajectory plans, and likely a critical component to meeting your mission statement.

Then you need to follow up on that recognition with a commitment of time, people, technology and money, to obtaining an automated 360 degree view of your customer. The commitment to a data management program will act as a new foundation for your organization, which will support your future acquisitions and organic growth.

Intricity can help you build a road-map to obtaining such a future. We’ve designed a low risk engagement which generates the foundational assets necessary to get that process started. I’ve written a whitepaper about this low risk engagement called “Phase 0”. If you’d like to read it click here. Additionally, you can reach out to talk with a specialist at any time.

要查看或添加评论,请登录

Jared Hillam的更多文章

  • The Narrow Case for Data-to-Information Company Acquisitions

    The Narrow Case for Data-to-Information Company Acquisitions

    The rumors about Salesforce acquiring Informatica induced both a chuckle and a head shake. This isn’t a critique about…

    7 条评论
  • Salesforce Would Have Failed

    Salesforce Would Have Failed

    I started using Salesforce in 2004. The company I was with was piloting it, and they eventually became a Salesforce…

    8 条评论
  • Practical Automation for Code Modernization

    Practical Automation for Code Modernization

    Modernization Pressures In the last 4 years, the Data Management space has seen more modernization than the prior 20…

    2 条评论
  • Systems>Goals

    Systems>Goals

    In 2014 Scott Adams, the creator of Dilbert, introduced the "Systems>Goals" idea to me, and it has hovered around my…

  • WHY is this true?

    WHY is this true?

    The "Cheap, Fast, Good" paradox is something that people in the services space immediately relate to. For me, having…

    8 条评论
  • Data Lake VS Data Warehouse

    Data Lake VS Data Warehouse

    I was recently listening to a clinical psychologist talk about the different kinds of people that run organizations. He…

  • What I learned from Hurricane Harvey

    What I learned from Hurricane Harvey

    I've been wanting to write about this experience for a while, but just haven't had the words appropriately assembled in…

    3 条评论
  • Goldilocks guide to Enterprise Analytics

    Goldilocks guide to Enterprise Analytics

    We all remember the story of Goldilocks and the 3 Bears. Through the process of elimination Goldilocks eventually finds…

  • What is a BI Metadata Layer

    What is a BI Metadata Layer

    If you’ve done any cooking, you’ve probably experienced what it's like to forget to add an ingredient or worse the…

    3 条评论
  • Should you trust the cloud?

    Should you trust the cloud?

    We recently had a discussion with a financial services company which had several concerns about moving to the cloud…

社区洞察

其他会员也浏览了