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번역 위젯 여러 언어로이 블로그의 영어 버전의 번역을 촉진 하기 위하여 당신의 편의 위해 제공 됩니다.. 이 자동된 번역 기능을 활용 하려는 경우, 자동된 번역 원래 영어 버전 간의 편차가 있을 수 있습니다 이해 하시기 바랍니다. IBM 같은 자동된 번역 편차에 대 한 책임을 지지 않습니다 및 번역된 버전 제공 "그대로" 어떠한 종류의 보증 없이.

분석 왓슨 전세계

IBM 임베디드 Analytics는 DecisionEd은 데이터 중심의 통찰력 학교의 성능을 개선하는 데 도움이

IBM Analytics is collaborating with DecisionEd—a leader in K-12 data and performance management solutions—to help empower school districts, giving them the quantitative decision tools long used in the business arena yet tailored to the unique needs of educators. By providing a complete, easy-to-understand view of every metric available, DecisionEd enables schools to make more-informed decisions and ultimately help children attain their educational goals.

The IBM Embedded Analytics program has given DecisionEd a customized business model that matches how the company goes to market. A dedicated team from IBM shares current advancements in analytics technologies and helps make sure the partnership evolves as the DecisionEd business evolves. The IBM Analytics platform provides DecisionEd with the capabilities needed to help its school district customers focus on important analytics without spending costly time compiling data from multiple systems.

The DecisionEd solution is built on a data warehouse that houses aggregated data from more than 10 different source systems used by school districts, including assessments, student information, staff records, financials and more. IBM Cognos Analytics provides DecisionEd customers with engaging dashboards and a 360-degree view of students, the school, the curriculum and programs. IBM SPSS Modeler is part of the DecisionEd Early Warning System, which looks across data from multiple systems and multiple risk categories, applying predictive and data mining techniques to identify students who might be at risk for not graduating.

One DecisionEd client, the Tuscaloosa City Schools (TCS), needed to address its low graduation rates, which for one school was as low as 46 %. TCS looked to DecisionEd to help reverse this trend.

DecisionEd helped TCS unlock its data silos to identify at-risk students and determine where grade performance declined and dropouts occurred. School administrators could then drill into why this was happening and create corrective actions.

In three short years after implementing the DecisionEd solution, TCS increased graduation rates from 69 받는 사람 81 %, and reduced dropouts from 111 받는 사람 36. The high school for which graduation rates had dropped to 46 percent increased to 80 %.

The next step in the DecisionEd analytics journey involves Watson Analytics. The company will soon be releasing its next generation of analytics-based offerings.

As a part of that dedicated team, I am excited to see the tremendous success DecisionEd is having in its market and to see the effect it is having on the students who will shape the world in the future. To learn more about DecisionEd solutions, 방문: http://decisioned.com.

Have Embedded Analytics opportunities? Contact me, 크리스 타일러, and also visit the IBM 임베디드 웹 로그 분석 웹 사이트 to explore how you can collaborate with IBM Analytics.

크리스 타일러,
Senior Embedded Analytics Architect

크리스 타일러는 IBM의 수석 임베디드 분석 건축가. 분야에서 인정받는 생각 지도자와 전도자, 크리스는 이상을 제공합니다 25 분석 솔루션의 응용 프로그램과 함께 작업 년간의 경험이 비즈니스에 미치는 영향을 증폭하고 시장에 속도를 가속. 그는 반복 건설에 종사하는 다수의 임베디드 분석 파트너들에게 신뢰할 수있는 조언자입니다, 분석 기반 솔루션.

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