{"id":31111,"date":"2023-06-20T16:39:12","date_gmt":"2023-06-20T20:39:12","guid":{"rendered":"https:\/\/www.concentrix.com\/?p=31111"},"modified":"2025-11-03T17:32:15","modified_gmt":"2025-11-03T22:32:15","slug":"why-you-need-the-right-data-and-analytics-experts","status":"publish","type":"post","link":"https:\/\/www.concentrix.com\/insights\/blog\/why-you-need-the-right-data-and-analytics-experts\/","title":{"rendered":"Why You Need the Right Analytics and Data and Experts"},"content":{"rendered":"\t\t
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Data fuels today\u2019s businesses. Companies collect data from a plethora of customer interactions ranging from point-of-sale systems, chat-based help, IVRs, and back-end systems. But without the right strategy and plan, much of this data can turn into noise. And you could be missing out on actionable insights that can power improvements, increase customer satisfaction, and fuel profitability. Understanding and making sense of all this data is challenging and could be quite costly if managed incorrectly\u2014both in terms of driving growth and your brand value. And, in an era where everyone\u2019s struggling to do more with less, it\u2019s essential that organizations get their data and analytics right.<\/span><\/p>

The reason organizations struggle to scale, automate, and reduce their bottom line is often due to a multitude of data-related problems. These challenges include poor project execution, ineffective data governance, insufficient data security, poor data quality and infrastructure, and quite often a lack of skilled resources.<\/span>\u00a0<\/span><\/p>

When you\u2019re able to properly define deliverables, develop the right data and processes, and clearly identify your end goals, you can drive better outcomes in your data related programs. In addition, there\u2019s often too much focus on technology over the right data processes. Placing a higher priority on the right data and modeling will also improve results.<\/span>\u00a0<\/span><\/p>

A key to solving this problem is having the right people to help design, build, and run data and analytics systems. But many organizations lack the necessary skills and talent to do the job right. In fact, there\u2019s a significant lack of skilled data and analytics experts in the US, with more than 330,000 data scientist jobs currently available.<\/span>1<\/sup><\/span> Not having the right people leads to slower project throughput and a lack of knowledge to optimize the business outcomes organizations seek.<\/span>\u00a0<\/span><\/p>

Gaining access to the necessary expertise can be done in a variety of ways. From short-term staff augmentation to partnering with data and analytics experts, companies can quickly turn their data and analytics challenges into a competitive advantage in the marketplace. Here are some examples.<\/span>\u00a0<\/span><\/p>

Driving a Successful Data Analytics Initiative in Real Estate<\/span><\/h2>

A large real estate investing client was urgently in need of resources to support a data analytics initiative. It was looking to improve asset acquisition velocity, the internal rate of return for its investors, and sales forecasting.<\/span>\u00a0<\/span><\/p>

The Concentrix team initially engaged with this group because it didn\u2019t have the right resources and expertise to complete the project. We deployed two\u00a0data and analytics experts<\/span>\u00a0to support the project as consultants. Because of its initial success, the program quickly evolved into a deeper project with specifically defined deliverables and success metrics. After our data resources were deployed and we were able to get a closer look at the project, we quickly identified that there was not a clearly defined program or path on how to execute the project successfully. We established a six month engagement with the client that provided a clear project path and success metrics, helping it achieve the following business outcomes:<\/span>\u00a0<\/span><\/p>