• Getting Big Value Out of Big Data

  In this webinar, we'll explore key findings and lay the groundwork for overcoming big data challenges-with real-world experiences and proven best practices.

• 16 MDM Technology and Implementation Best Practices

  Evaluating a master data management (MDM) technology or implementing one can be a daunting exercise. The road to MDM is littered with both success and failure. While many companies have been successful in their MDM journey in every phase of their project, a few have shelved the product after a disastrous initial implementation. What separates success from failure? What technical capabilities separate the best-in-class from mediocre MDM? How to plan around the implementation minefields so that your project doesn’t blow up?

• Supercharge Your Supply Chain Applications with Better Supplier Information

  Are you struggling to improve supplier onboarding, collaboration and compliance because you can’t see the total supplier relationship across product lines, business units and regions?

• Adaptive Biotechnologies: A data-centric startup

  Adaptive Biotechnologies is a thriving biotechnology startup, headquartered in Seattle, and playing a major role in the immunotherapy approach to curing cancer. Adaptive Biotechnologies has been growing in leaps and bounds, both organically and through acquisitions - and amassing vast amounts of data in the process.

• How Kelly Services Uses MDM & iPaaS for Data Estate Modernization

  At 70 years, Kelly Services is a global workforce solution company serving 91% of Fortune 100 companies with more than 1 million workers in the talent supply chain. In 2017, Kelly Services began modernizing its data platform with a cloud-first strategy to quickly connect the right talent with the right customers. Critical to the success of Kelly Services is a multidomain strategy for MDM, starting with the customer domain.

• Banking POV: Framework for Building a Modern Data Foundation

  Leading financial services companies are embracing sweeping digital transformation strategies, including next best experience, personalization, omni-channel consistency, and compliance with customer-centric regulations such as FACTA, KYC, GDPR and CCPA. The common denominator underpinning all of those initiatives is a solid data foundation and a Customer 360. Most financial institutions have tons of client information residing across many systems and silos, but customer profiles tend to be less than 20% complete and lack insights from unstructured data, such as web chats, phone notes, and emails. Getting to 100% doesn’t happen with conventional matching capabilities or from raw data in a data lake. To take full advantage of all data, it requires modern capabilities including Machine Learning, Natural Language Processing, graph visualization and more.